Distance Metrics And Clustering Algorithms For Detection And Classification Of Process Sensitive Patterns

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Distance Metrics and Clustering Algorithms for Detection and Classification of Process Sensitive Patterns

Author : Justin Ghan
Publisher :
ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.:/5 (769 download)

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Book Synopsis Distance Metrics and Clustering Algorithms for Detection and Classification of Process Sensitive Patterns by : Justin Ghan

Download or read book Distance Metrics and Clustering Algorithms for Detection and Classification of Process Sensitive Patterns written by Justin Ghan and published by . This book was released on 2010 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detection of process sensitive patterns known as hotspots is critical to maximising yield in integrated circuit layouts. Design rule checking is a common tool in the industry for fast hotspot detection, but it is becoming impractical as we approach smaller technology nodes, due to an exponentially growing rule book which must be manually maintained. A pattern matching based system for hotspot detection is explored in this dissertation which has the advantage of being automatically generated while still performing detection with a runtime comparable to design rule checking. Instead of scanning a design layout for certain combinations of distances found in a library of rules, we use a pattern matching tool to find occurrences in the layout of patterns which match or closely resemble known bad configurations. In order for such a system to detect hotspots effectively, we require a comprehensive catalogue of hotspot patterns for the pattern matcher to use. Of course, it is not feasible to simply store all known hotspots patterns in the catalogue, as the memory requirements and pattern matching runtimes would be enormous. Instead, the catalogue must contain a smaller number of hotspot classes, where each class represents a set of geometrically similar patterns which embody the same type of hotspot. The pattern matching tool is able to find matches to a hotspot class by matching to a particular representative pattern of the class, and allowing for small geometric deviations from this representative. To build such a catalogue, a large diverse set of hotspot clips must be analysed and reduced to a small number of hotspot classes. To perform this reduction meaningfully, a deep understanding of what it means for two hotspots to be the same "type'" of hotspot is required. We perform an in-depth analysis of the process sensitivity of patterns. From this we design a distance metric which quantifies the extent to which the process sensitivities of two hotspots are caused by similar geometry of surrounding features. Equipped with this distance metric, clustering algorithms are used to group a dataset of clips into a small number of clusters containing similar hotspots. Because the number of clips to analyse must be very large in order to build a comprehensive catalogue, it is important to make this process as computationally efficient as possible. To this end, the distance metric and the clustering algorithm are designed and tailored for maximum efficiency. To test our hotspot detection system, we build a catalogue of hotspot classes based on a dataset of clips extracted from a device layout. A pattern matching tool then uses our catalogue to detect hotspots, and the results are presented.

Clustering Algorithms

Author : John A. Hartigan
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Clustering Algorithms by : John A. Hartigan

Download or read book Clustering Algorithms written by John A. Hartigan and published by John Wiley & Sons. This book was released on 1975 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows how Galileo, Newton, and Einstein tried to explain gravity. Discusses the concept of microgravity and NASA's research on gravity and microgravity.

Partitional Clustering Algorithms

Author : M. Emre Celebi
Publisher : Springer
ISBN 13 : 3319092596
Total Pages : 420 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Partitional Clustering Algorithms by : M. Emre Celebi

Download or read book Partitional Clustering Algorithms written by M. Emre Celebi and published by Springer. This book was released on 2014-11-07 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering. Each chapter is contributed by a leading expert in the field.

Unsupervised Classification

Author : Sanghamitra Bandyopadhyay
Publisher : Springer Science & Business Media
ISBN 13 : 3642324517
Total Pages : 271 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Unsupervised Classification by : Sanghamitra Bandyopadhyay

Download or read book Unsupervised Classification written by Sanghamitra Bandyopadhyay and published by Springer Science & Business Media. This book was released on 2012-12-13 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature. This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection. The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.

Data Mining: Concepts and Techniques

Author : Jiawei Han
Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han

Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Pan-African Artificial Intelligence and Smart Systems

Author : Telex Magloire Ngatched Nkouatchah
Publisher : Springer Nature
ISBN 13 : 3031252713
Total Pages : 441 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Pan-African Artificial Intelligence and Smart Systems by : Telex Magloire Ngatched Nkouatchah

Download or read book Pan-African Artificial Intelligence and Smart Systems written by Telex Magloire Ngatched Nkouatchah and published by Springer Nature. This book was released on 2023-02-20 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the Second International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2022, which was held in Dakar, Senegal, in November 2022. The 27 revised full papers presented were carefully selected from 70 submissions. The theme of PAAISS 2022 was: IoT and Enabling Smart System Technologies, Special Topics of African Interest, Artificial Intelligence Theory and Methods, Artificial Intelligence Applications in Medicine, Remote sensing and AI in Agriculture, AI applications and Smart Systems technologies, Affective Computing, Intelligent Transportation systems.

Outlier Analysis

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319475789
Total Pages : 481 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Outlier Analysis by : Charu C. Aggarwal

Download or read book Outlier Analysis written by Charu C. Aggarwal and published by Springer. This book was released on 2016-12-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.

Computational Biology

Author : Tuan Pham
Publisher : Springer Science & Business Media
ISBN 13 : 1441908110
Total Pages : 309 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Computational Biology by : Tuan Pham

Download or read book Computational Biology written by Tuan Pham and published by Springer Science & Business Media. This book was released on 2009-09-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.

Applied Unsupervised Learning with R

Author : Alok Malik
Publisher : Packt Publishing Ltd
ISBN 13 : 1789951461
Total Pages : 320 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Applied Unsupervised Learning with R by : Alok Malik

Download or read book Applied Unsupervised Learning with R written by Alok Malik and published by Packt Publishing Ltd. This book was released on 2019-03-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Key FeaturesBuild state-of-the-art algorithms that can solve your business' problemsLearn how to find hidden patterns in your dataRevise key concepts with hands-on exercises using real-world datasetsBook Description Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. This book begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you'll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. You'll be introduced to these methods using code written in R, with further instructions on how to work with, edit, and improve R code. To help you gain a practical understanding, the book also features useful tips on applying these methods to real business problems, including market segmentation and fraud detection. By working through interesting activities, you'll explore data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods, such as outlier detection, Mahalanobis distances, and contextual and collective anomaly detection. What you will learnImplement clustering methods such as k-means, agglomerative, and divisiveWrite code in R to analyze market segmentation and consumer behaviorEstimate distribution and probabilities of different outcomesImplement dimension reduction using principal component analysisApply anomaly detection methods to identify fraudDesign algorithms with R and learn how to edit or improve codeWho this book is for Applied Unsupervised Learning with R is designed for business professionals who want to learn about methods to understand their data better, and developers who have an interest in unsupervised learning. Although the book is for beginners, it will be beneficial to have some basic, beginner-level familiarity with R. This includes an understanding of how to open the R console, how to read data, and how to create a loop. To easily understand the concepts of this book, you should also know basic mathematical concepts, including exponents, square roots, means, and medians.

Data Mining

Author : Ian H. Witten
Publisher : Elsevier
ISBN 13 : 008047702X
Total Pages : 558 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2005-07-13 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods Performance improvement techniques that work by transforming the input or output

On the Surprising Behavior of Distance Metrics in High Dimensional Space

Author : International Business Machines Corporation. Research Division. (IBMRD)
Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (247 download)

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Book Synopsis On the Surprising Behavior of Distance Metrics in High Dimensional Space by : International Business Machines Corporation. Research Division. (IBMRD)

Download or read book On the Surprising Behavior of Distance Metrics in High Dimensional Space written by International Business Machines Corporation. Research Division. (IBMRD) and published by . This book was released on 2000 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "In recent years, the effect of the curse of high dimensionality has been studied in great detail on several problems such as clustering, nearest neighbor search, and indexing. In high dimensional space the data becomes sparse, and traditional indexing and algorithmic techniques fail from a [sic] efficiency and/or effectiveness perspective. Recent research results show that in high dimensional space, the concept of proximity, distance or nearest neighbor may not even be qualitatively meaningful. In this paper, we view the dimensionality curse from the point of view of the distance metrics which are used to measure the similarity between objects. We specifically examine the behavior of the commonly used L[subscript k] norm and show that the problem of meaningfulness in high dimensionality is sensitive to the value of k. For example, this means that the Manhattan distance metric (L1 norm) is consistently more preferable than the Euclidean distance metric (L2 norm) for high dimensional data mining applications. Using the intuition derived from our analysis, we introduce and examine a natural extension of the L[subscript k] norm to fractional distance metrics. We show that the fractional distance metric provides more meaningful results both from the theoretical and empirical perspective. The results show that fractional distance metrics can significantly improve the effectiveness of standard clustering algorithms such as the k-means algorithm."

Pattern Recognition

Author : Sergios Theodoridis
Publisher : Elsevier
ISBN 13 : 008051362X
Total Pages : 705 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Pattern Recognition by : Sergios Theodoridis

Download or read book Pattern Recognition written by Sergios Theodoridis and published by Elsevier. This book was released on 2003-05-15 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms. *Approaches pattern recognition from the designer's point of view *New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere *Supplemented by computer examples selected from applications of interest

Spatial and Spatio-temporal Clustering

Author : Sujing Wang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Spatial and Spatio-temporal Clustering by : Sujing Wang

Download or read book Spatial and Spatio-temporal Clustering written by Sujing Wang and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the advances in technology, such as smart phones, general mobile devices, remote sensors, and sensor networks, different types of spatial data become increasingly available. These data can also integrate multiple other types of information, such as temporal information, social information, and scientific measurements, which provide a tremendous potential for discovering new useful knowledge, as well as new research challenges. In this research, we focus on clustering and analyzing spatial and spatio-temporal data. We have addressed several important sub-problems in polygon-based spatial and spatio-temporal clustering and post-processing analysis techniques. We have developed (1) two distance functions that measure the distances between polygons, especially overlapping polygons; (2) a density-based spatial clustering algorithm for polygons; (3) two post-processing analysis techniques to extract interesting patterns and useful knowledge from spatial clusters; (4) two density-based spatio-temporal clustering algorithms for polygons; (5) a box plot based post-processing analysis technique to identify interesting spatio-temporal clusters of polygons; (6) a change-pattern-discovery algorithm to detect and analyze patterns of dynamic changes within spatio-temporal clusters of polygons; and (7) a formal definition of the task of finding uniform regions in spatial data and an algorithm to identify such uniform regions. Our algorithms and techniques are demonstrated and evaluated in challenging real-world case studies involving ozone pollution events in the Houston-Galveston-Brazoria area and the building data of Strasbourg, France. The results show that our algorithms are effective in finding compact clusters in spatial and spatio-temporal domains and in extracting interesting patterns and useful information from spatial and spatio-temporal data.

Advanced Image Processing Techniques and Applications

Author : Kumar, N. Suresh
Publisher : IGI Global
ISBN 13 : 1522520546
Total Pages : 459 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Advanced Image Processing Techniques and Applications by : Kumar, N. Suresh

Download or read book Advanced Image Processing Techniques and Applications written by Kumar, N. Suresh and published by IGI Global. This book was released on 2017-02-10 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

Advances in Computer Science, Engineering and Applications

Author : David C. Wyld
Publisher : Springer Science & Business Media
ISBN 13 : 3642301118
Total Pages : 1073 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Computer Science, Engineering and Applications by : David C. Wyld

Download or read book Advances in Computer Science, Engineering and Applications written by David C. Wyld and published by Springer Science & Business Media. This book was released on 2012-05-17 with total page 1073 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International conference series on Computer Science, Engineering & Applications (ICCSEA) aims to bring together researchers and practitioners from academia and industry to focus on understanding computer science, engineering and applications and to establish new collaborations in these areas. The Second International Conference on Computer Science, Engineering & Applications (ICCSEA-2012), held in Delhi, India, during May 25-27, 2012 attracted many local and international delegates, presenting a balanced mixture of intellect and research both from the East and from the West. Upon a strenuous peer-review process the best submissions were selected leading to an exciting, rich and a high quality technical conference program, which featured high-impact presentations in the latest developments of various areas of computer science, engineering and applications research.

Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1498769373
Total Pages : 393 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Hybrid Intelligent Techniques for Pattern Analysis and Understanding by : Siddhartha Bhattacharyya

Download or read book Hybrid Intelligent Techniques for Pattern Analysis and Understanding written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2017-10-30 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Advances in Image Understanding

Author : Kevin W. Bowyer
Publisher : Wiley-IEEE Computer Society Press
ISBN 13 :
Total Pages : 368 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Advances in Image Understanding by : Kevin W. Bowyer

Download or read book Advances in Image Understanding written by Kevin W. Bowyer and published by Wiley-IEEE Computer Society Press. This book was released on 1996 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of original papers has been assembled to honor Azriel Rosenfeld, a dominant figure in the field of computer vision and image processing for over 30 years. Over this period he has made many fundamental and pioneering contributions to nearly every area in this field. Azriel Rosenfeld wrote the first textbook in the field in 1969 and was the founding editor of its first journal in 1972. The contributions in this book illustrate the change that have occurred in dealing with crucial research problems and the methodologies employed to solve them. The 22 papers specifically written for this text are by only a handful of researchers who have known and worked with Azriel over the years. These papers address five major themes: image segmentation, feature extraction, 3D shape estimation from 2D images, object recognition, and applications technologies.