High Dimensional Data Clustering And Statistical Analysis Of Clustering Based Data Summarization Products

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New Directions in Statistical Physics

Author : Luc T. Wille
Publisher : Springer Science & Business Media
ISBN 13 : 3662089688
Total Pages : 369 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis New Directions in Statistical Physics by : Luc T. Wille

Download or read book New Directions in Statistical Physics written by Luc T. Wille and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unique insight into the latest breakthroughs in a consistent manner, at a level accessible to undergraduates, yet with enough attention to the theory and computation to satisfy the professional researcher Statistical physics addresses the study and understanding of systems with many degrees of freedom. As such it has a rich and varied history, with applications to thermodynamics, magnetic phase transitions, and order/disorder transformations, to name just a few. However, the tools of statistical physics can be profitably used to investigate any system with a large number of components. Thus, recent years have seen these methods applied in many unexpected directions, three of which are the main focus of this volume. These applications have been remarkably successful and have enriched the financial, biological, and engineering literature. Although reported in the physics literature, the results tend to be scattered and the underlying unity of the field overlooked.

Data Clustering: Theory, Algorithms, and Applications, Second Edition

Author : Guojun Gan
Publisher : SIAM
ISBN 13 : 1611976332
Total Pages : 430 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Data Clustering: Theory, Algorithms, and Applications, Second Edition by : Guojun Gan

Download or read book Data Clustering: Theory, Algorithms, and Applications, Second Edition written by Guojun Gan and published by SIAM. This book was released on 2020-11-10 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

Introduction to Clustering Large and High-Dimensional Data

Author : Jacob Kogan
Publisher : Cambridge University Press
ISBN 13 : 9780521617932
Total Pages : 228 pages
Book Rating : 4.6/5 (179 download)

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Book Synopsis Introduction to Clustering Large and High-Dimensional Data by : Jacob Kogan

Download or read book Introduction to Clustering Large and High-Dimensional Data written by Jacob Kogan and published by Cambridge University Press. This book was released on 2007 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on a few of the important clustering algorithms in the context of information retrieval.

Introduction to High-Dimensional Statistics

Author : Christophe Giraud
Publisher : CRC Press
ISBN 13 : 1000408329
Total Pages : 364 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Introduction to High-Dimensional Statistics by : Christophe Giraud

Download or read book Introduction to High-Dimensional Statistics written by Christophe Giraud and published by CRC Press. This book was released on 2021-08-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the first edition: "[This book] succeeds singularly at providing a structured introduction to this active field of research. ... it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. ... recommended to anyone interested in the main results of current research in high-dimensional statistics as well as anyone interested in acquiring the core mathematical skills to enter this area of research." —Journal of the American Statistical Association Introduction to High-Dimensional Statistics, Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field, and much progress has been made on a large variety of topics, providing new insights and methods. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this new edition: Offers revised chapters from the previous edition, with the inclusion of many additional materials on some important topics, including compress sensing, estimation with convex constraints, the slope estimator, simultaneously low-rank and row-sparse linear regression, or aggregation of a continuous set of estimators. Introduces three new chapters on iterative algorithms, clustering, and minimax lower bounds. Provides enhanced appendices, minimax lower-bounds mainly with the addition of the Davis-Kahan perturbation bound and of two simple versions of the Hanson-Wright concentration inequality. Covers cutting-edge statistical methods including model selection, sparsity and the Lasso, iterative hard thresholding, aggregation, support vector machines, and learning theory. Provides detailed exercises at the end of every chapter with collaborative solutions on a wiki site. Illustrates concepts with simple but clear practical examples.

Statistical Inference from High Dimensional Data

Author : Carlos Fernandez-Lozano
Publisher : MDPI
ISBN 13 : 3036509445
Total Pages : 314 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Statistical Inference from High Dimensional Data by : Carlos Fernandez-Lozano

Download or read book Statistical Inference from High Dimensional Data written by Carlos Fernandez-Lozano and published by MDPI. This book was released on 2021-04-28 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: • Real-world problems can be high-dimensional, complex, and noisy • More data does not imply more information • Different approaches deal with the so-called curse of dimensionality to reduce irrelevant information • A process with multidimensional information is not necessarily easy to interpret nor process • In some real-world applications, the number of elements of a class is clearly lower than the other. The models tend to assume that the importance of the analysis belongs to the majority class and this is not usually the truth • The analysis of complex diseases such as cancer are focused on more-than-one dimensional omic data • The increasing amount of data thanks to the reduction of cost of the high-throughput experiments opens up a new era for integrative data-driven approaches • Entropy-based approaches are of interest to reduce the dimensionality of high-dimensional data

Proceedings of the Fourth SIAM International Conference on Data Mining

Author : Michael W. Berry
Publisher : SIAM
ISBN 13 : 9780898715682
Total Pages : 556 pages
Book Rating : 4.7/5 (156 download)

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Book Synopsis Proceedings of the Fourth SIAM International Conference on Data Mining by : Michael W. Berry

Download or read book Proceedings of the Fourth SIAM International Conference on Data Mining written by Michael W. Berry and published by SIAM. This book was released on 2004-01-01 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.

Model-Based Clustering and Classification for Data Science

Author : Charles Bouveyron
Publisher : Cambridge University Press
ISBN 13 : 1108640591
Total Pages : 447 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Model-Based Clustering and Classification for Data Science by : Charles Bouveyron

Download or read book Model-Based Clustering and Classification for Data Science written by Charles Bouveyron and published by Cambridge University Press. This book was released on 2019-07-25 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.

Big Data Analytics

Author : Saumyadipta Pyne
Publisher : Springer
ISBN 13 : 8132236289
Total Pages : 278 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Big Data Analytics by : Saumyadipta Pyne

Download or read book Big Data Analytics written by Saumyadipta Pyne and published by Springer. This book was released on 2016-10-12 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.

Proceedings of the Eighth Workshop on Algorithm Engineering and Experiments and the Third Workshop on Analytic Algorithmics and Combinatorics

Download Proceedings of the Eighth Workshop on Algorithm Engineering and Experiments and the Third Workshop on Analytic Algorithmics and Combinatorics PDF Online Free

Author : Rajeev Raman
Publisher : SIAM
ISBN 13 : 9780898716108
Total Pages : 298 pages
Book Rating : 4.7/5 (161 download)

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Book Synopsis Proceedings of the Eighth Workshop on Algorithm Engineering and Experiments and the Third Workshop on Analytic Algorithmics and Combinatorics by : Rajeev Raman

Download or read book Proceedings of the Eighth Workshop on Algorithm Engineering and Experiments and the Third Workshop on Analytic Algorithmics and Combinatorics written by Rajeev Raman and published by SIAM. This book was released on 2006-01-01 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual Workshop on Algorithm Engineering and Experiments (ALENEX) provides a forum for the presentation of original research in all aspects of algorithm engineering, including the implementation and experimental evaluation of algorithms and data structures. The workshop was sponsored by SIAM, the Society for Industrial and Applied Mathematics, and SIGACT, the ACM Special Interest Group on Algorithms and Computation Theory. The aim of ANALCO is to provide a forum for the presentation of original research in the analysis of algorithms and associated combinatorial structures.

Practical Guide to Cluster Analysis in R

Author : Alboukadel Kassambara
Publisher : STHDA
ISBN 13 : 1542462703
Total Pages : 168 pages
Book Rating : 4.5/5 (424 download)

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Book Synopsis Practical Guide to Cluster Analysis in R by : Alboukadel Kassambara

Download or read book Practical Guide to Cluster Analysis in R written by Alboukadel Kassambara and published by STHDA. This book was released on 2017-08-23 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book provides practical guide to cluster analysis, elegant visualization and interpretation. It contains 5 parts. Part I provides a quick introduction to R and presents required R packages, as well as, data formats and dissimilarity measures for cluster analysis and visualization. Part II covers partitioning clustering methods, which subdivide the data sets into a set of k groups, where k is the number of groups pre-specified by the analyst. Partitioning clustering approaches include: K-means, K-Medoids (PAM) and CLARA algorithms. In Part III, we consider hierarchical clustering method, which is an alternative approach to partitioning clustering. The result of hierarchical clustering is a tree-based representation of the objects called dendrogram. In this part, we describe how to compute, visualize, interpret and compare dendrograms. Part IV describes clustering validation and evaluation strategies, which consists of measuring the goodness of clustering results. Among the chapters covered here, there are: Assessing clustering tendency, Determining the optimal number of clusters, Cluster validation statistics, Choosing the best clustering algorithms and Computing p-value for hierarchical clustering. Part V presents advanced clustering methods, including: Hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and Density-based clustering.

Proceedings 2003 VLDB Conference

Author : VLDB
Publisher : Morgan Kaufmann
ISBN 13 : 0080539785
Total Pages : 1185 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Proceedings 2003 VLDB Conference by : VLDB

Download or read book Proceedings 2003 VLDB Conference written by VLDB and published by Morgan Kaufmann. This book was released on 2003-12-02 with total page 1185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 29th Annual International Conference on Very Large Data Bases held in Berlin, Germany on September 9-12, 2003. Organized by the VLDB Endowment, VLDB is the premier international conference on database technology.

The Handbook of Data Mining

Author : Nong Ye
Publisher : CRC Press
ISBN 13 : 1410607518
Total Pages : 720 pages
Book Rating : 4.4/5 (16 download)

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Book Synopsis The Handbook of Data Mining by : Nong Ye

Download or read book The Handbook of Data Mining written by Nong Ye and published by CRC Press. This book was released on 2003-04-01 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials. This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality. This Handbook is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.

Elgar Encyclopedia of Law and Data Science

Author : Comandé, Giovanni
Publisher : Edward Elgar Publishing
ISBN 13 : 1839104597
Total Pages : 400 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Elgar Encyclopedia of Law and Data Science by : Comandé, Giovanni

Download or read book Elgar Encyclopedia of Law and Data Science written by Comandé, Giovanni and published by Edward Elgar Publishing. This book was released on 2022-02-18 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Cluster Analysis for Applications

Author : Michael R. Anderberg
Publisher : Academic Press
ISBN 13 : 1483191397
Total Pages : 376 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Cluster Analysis for Applications by : Michael R. Anderberg

Download or read book Cluster Analysis for Applications written by Michael R. Anderberg and published by Academic Press. This book was released on 2014-05-10 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis. Comprised of 10 chapters, this book begins with an introduction to the subject of cluster analysis and its uses as well as category sorting problems and the need for cluster analysis algorithms. The next three chapters give a detailed account of variables and association measures, with emphasis on strategies for dealing with problems containing variables of mixed types. Subsequent chapters focus on the central techniques of cluster analysis with particular reference to computational considerations; interpretation of clustering results; and techniques and strategies for making the most effective use of cluster analysis. The final chapter suggests an approach for the evaluation of alternative clustering methods. The presentation is capped with a complete set of implementing computer programs listed in the Appendices to make the use of cluster analysis as painless and free of mechanical error as is possible. This monograph is intended for students and workers who have encountered the notion of cluster analysis.

Audit and Assurance Services, Print and Interactive E-Text

Author : Philomena Leung
Publisher : John Wiley & Sons
ISBN 13 : 139417344X
Total Pages : 531 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Audit and Assurance Services, Print and Interactive E-Text by : Philomena Leung

Download or read book Audit and Assurance Services, Print and Interactive E-Text written by Philomena Leung and published by John Wiley & Sons. This book was released on 2023-09-15 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for the local market, the second edition of Audit and Assurance features a concise and contemporary presentation of auditing. This new edition has a major focus on both technology and applied learning, using lots of examples to ensure students will be able to do more than rote auditing and instead understand why processes are the way they are so that they can be more flexible. The new edition welcomes two new industry experts to the author team, Dominic Canestrati-Soh who is a Senior Manager at Ernst & Young and Kirsty Meredith who is an academic at USC with 7 years industry experience as a Chartered Accountant specialising in audit and taxation. The text has been updated with new content on data analytics, technology insights and interviews with auditing practioners as well as Excel screencasts and primers.

Big Data Computing

Author : Vivek Kale
Publisher : CRC Press
ISBN 13 : 1315354020
Total Pages : 651 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Big Data Computing by : Vivek Kale

Download or read book Big Data Computing written by Vivek Kale and published by CRC Press. This book was released on 2016-11-25 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.