Advances In Fuzzy Clustering And Its Applications

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Advances in Fuzzy Clustering and its Applications

Author : Jose Valente de Oliveira
Publisher : John Wiley & Sons
ISBN 13 : 9780470061183
Total Pages : 454 pages
Book Rating : 4.0/5 (611 download)

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Book Synopsis Advances in Fuzzy Clustering and its Applications by : Jose Valente de Oliveira

Download or read book Advances in Fuzzy Clustering and its Applications written by Jose Valente de Oliveira and published by John Wiley & Sons. This book was released on 2007-06-13 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and methods, whilst identifying major challenges and recent developments in the area. Split into five clear sections, Fundamentals, Visualization, Algorithms and Computational Aspects, Real-Time and Dynamic Clustering, and Applications and Case Studies, the book covers a wealth of novel, original and fully updated material, and in particular offers: a focus on the algorithmic and computational augmentations of fuzzy clustering and its effectiveness in handling high dimensional problems, distributed problem solving and uncertainty management. presentations of the important and relevant phases of cluster design, including the role of information granules, fuzzy sets in the realization of human-centricity facet of data analysis, as well as system modelling demonstrations of how the results facilitate further detailed development of models, and enhance interpretation aspects a carefully organized illustrative series of applications and case studies in which fuzzy clustering plays a pivotal role This book will be of key interest to engineers associated with fuzzy control, bioinformatics, data mining, image processing, and pattern recognition, while computer engineers, students and researchers, in most engineering disciplines, will find this an invaluable resource and research tool.

Algorithms for Fuzzy Clustering

Author : Sadaaki Miyamoto
Publisher : Springer Science & Business Media
ISBN 13 : 3540787364
Total Pages : 252 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Algorithms for Fuzzy Clustering by : Sadaaki Miyamoto

Download or read book Algorithms for Fuzzy Clustering written by Sadaaki Miyamoto and published by Springer Science & Business Media. This book was released on 2008-04-15 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently many researchers are working on cluster analysis as a main tool for exploratory data analysis and data mining. A notable feature is that specialists in di?erent ?elds of sciences are considering the tool of data clustering to be useful. A major reason is that clustering algorithms and software are ?exible in thesensethatdi?erentmathematicalframeworksareemployedinthealgorithms and a user can select a suitable method according to his application. Moreover clusteringalgorithmshavedi?erentoutputsrangingfromtheolddendrogramsof agglomerativeclustering to more recent self-organizingmaps. Thus, a researcher or user can choose an appropriate output suited to his purpose,which is another ?exibility of the methods of clustering. An old and still most popular method is the K-means which use K cluster centers. A group of data is gathered around a cluster center and thus forms a cluster. The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reasonwhy we concentrate on fuzzy c-means is that most methodology and application studies infuzzy clusteringusefuzzy c-means,andfuzzy c-meansshouldbe consideredto beamajortechniqueofclusteringingeneral,regardlesswhetheroneisinterested in fuzzy methods or not. Moreover recent advances in clustering techniques are rapid and we requirea new textbook that includes recent algorithms.We should also note that several books have recently been published but the contents do not include some methods studied herein.

Innovations in Fuzzy Clustering

Author : Mika Sato-Ilic
Publisher : Springer
ISBN 13 : 3540343571
Total Pages : 151 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Innovations in Fuzzy Clustering by : Mika Sato-Ilic

Download or read book Innovations in Fuzzy Clustering written by Mika Sato-Ilic and published by Springer. This book was released on 2006-10-31 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering; Fuzzy Clustering based Principal Component Analysis; Fuzzy Clustering based Regression Analysis; Kernel based Fuzzy Clustering; Evaluation of Fuzzy Clustering; Self-Organized Fuzzy Clustering. This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.

Fuzzy Cluster Analysis

Author : Frank Höppner
Publisher : John Wiley & Sons
ISBN 13 : 9780471988649
Total Pages : 308 pages
Book Rating : 4.9/5 (886 download)

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Book Synopsis Fuzzy Cluster Analysis by : Frank Höppner

Download or read book Fuzzy Cluster Analysis written by Frank Höppner and published by John Wiley & Sons. This book was released on 1999-07-09 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieser Band konzentriert sich auf Konzepte, Algorithmen und Anwendungen des Fuzzy Clustering. In sich geschlossen werden Techniken wie das Fuzzy-c-Mittel und die Gustafson-Kessel- und Gath- und Gava-Algorithmen behandelt, wobei vom Leser keine Vorkenntnisse auf dem Gebiet von Fuzzy-Systemen erwartet werden. Durch anschauliche Anwendungsbeispiele eignet sich das Buch als Einführung für Praktiker der Datenanalyse, der Bilderkennung und der angewandten Mathematik. (05/99)

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.

Advances in Self-Organizing Maps

Author : Jorma Laaksonen
Publisher : Springer Science & Business Media
ISBN 13 : 3642215653
Total Pages : 380 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Self-Organizing Maps by : Jorma Laaksonen

Download or read book Advances in Self-Organizing Maps written by Jorma Laaksonen and published by Springer Science & Business Media. This book was released on 2011-06-03 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on plenaries; financial and societal applications; theory and methodology; applications of data mining and analysis; language processing and document analysis; and visualization and image processing.

Fuzzy Sets & their Application to Clustering & Training

Author : Beatrice Lazzerini
Publisher : CRC Press
ISBN 13 : 9780849305894
Total Pages : 672 pages
Book Rating : 4.3/5 (58 download)

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Book Synopsis Fuzzy Sets & their Application to Clustering & Training by : Beatrice Lazzerini

Download or read book Fuzzy Sets & their Application to Clustering & Training written by Beatrice Lazzerini and published by CRC Press. This book was released on 2000-03-24 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy set theory - and its underlying fuzzy logic - represents one of the most significant scientific and cultural paradigms to emerge in the last half-century. Its theoretical and technological promise is vast, and we are only beginning to experience its potential. Clustering is the first and most basic application of fuzzy set theory, but forms the basis of many, more sophisticated, intelligent computational models, particularly in pattern recognition, data mining, adaptive and hierarchical clustering, and classifier design. Fuzzy Sets and their Application to Clustering and Training offers a comprehensive introduction to fuzzy set theory, focusing on the concepts and results needed for training and clustering applications. It provides a unified mathematical framework for fuzzy classification and clustering, a methodology for developing training and classification methods, and a general method for obtaining a variety of fuzzy clustering algorithms. The authors - top experts from around the world - combine their talents to lay a solid foundation for applications of this powerful tool, from the basic concepts and mathematics through the study of various algorithms, to validity functionals and hierarchical clustering. The result is Fuzzy Sets and their Application to Clustering and Training - an outstanding initiation into the world of fuzzy learning classifiers and fuzzy clustering.

Pattern Recognition with Fuzzy Objective Function Algorithms

Author : James C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 147570450X
Total Pages : 267 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Pattern Recognition with Fuzzy Objective Function Algorithms by : James C. Bezdek

Download or read book Pattern Recognition with Fuzzy Objective Function Algorithms written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fuzzy set was conceived as a result of an attempt to come to grips with the problem of pattern recognition in the context of imprecisely defined categories. In such cases, the belonging of an object to a class is a matter of degree, as is the question of whether or not a group of objects form a cluster. A pioneering application of the theory of fuzzy sets to cluster analysis was made in 1969 by Ruspini. It was not until 1973, however, when the appearance of the work by Dunn and Bezdek on the Fuzzy ISODATA (or fuzzy c-means) algorithms became a landmark in the theory of cluster analysis, that the relevance of the theory of fuzzy sets to cluster analysis and pattern recognition became clearly established. Since then, the theory of fuzzy clustering has developed rapidly and fruitfully, with the author of the present monograph contributing a major share of what we know today. In their seminal work, Bezdek and Dunn have introduced the basic idea of determining the fuzzy clusters by minimizing an appropriately defined functional, and have derived iterative algorithms for computing the membership functions for the clusters in question. The important issue of convergence of such algorithms has become much better understood as a result of recent work which is described in the monograph.

Computational Collective IntelligenceTechnologies and Applications

Author : Piotr Jedrzejowicz
Publisher : Springer
ISBN 13 : 3642239358
Total Pages : 635 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Collective IntelligenceTechnologies and Applications by : Piotr Jedrzejowicz

Download or read book Computational Collective IntelligenceTechnologies and Applications written by Piotr Jedrzejowicz and published by Springer. This book was released on 2011-09-15 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 6922 and LNAI 6923 constitutes the refereed proceedings of the Third International Conference on Computational Collective Intelligence, ICCCI 2011, held in Gdynia, Poland, in September 2011. The 112 papers in this two volume set presented together with 3 keynote speeches were carefully reviewed and selected from 300 submissions. The papers are organized in topical sections on knowledge management, machine learning and applications, autonomous and collective decision-making, collective computations and optimization, Web services and semantic Web, social networks and computational swarm intelligence and applications.

Advanced Machine Learning Technologies and Applications

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319134612
Total Pages : 542 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advanced Machine Learning Technologies and Applications by : Aboul Ella Hassanien

Download or read book Advanced Machine Learning Technologies and Applications written by Aboul Ella Hassanien and published by Springer. This book was released on 2014-11-04 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. The 49 full papers presented were carefully reviewed and selected from 101 initial submissions. The papers are organized in topical sections on machine learning in Arabic text recognition and assistive technology; recommendation systems for cloud services; machine learning in watermarking/authentication and virtual machines; features extraction and classification; rough/fuzzy sets and applications; fuzzy multi-criteria decision making; Web-based application and case-based reasoning construction; social networks and big data sets.

Single valued Neutrosophic clustering algorithm Based on Tsallis Entropy Maximization

Author : Qiaoyan Li
Publisher : Infinite Study
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4./5 ( download)

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Book Synopsis Single valued Neutrosophic clustering algorithm Based on Tsallis Entropy Maximization by : Qiaoyan Li

Download or read book Single valued Neutrosophic clustering algorithm Based on Tsallis Entropy Maximization written by Qiaoyan Li and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. Neutrosophic set, which is extension of fuzzy set, has received extensive attention in solving many real life problems of uncertainty, inaccuracy, incompleteness, inconsistency and uncertainty.

Fifty Years of Fuzzy Logic and its Applications

Author : Dan E. Tamir
Publisher : Springer
ISBN 13 : 3319196839
Total Pages : 684 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Fifty Years of Fuzzy Logic and its Applications by : Dan E. Tamir

Download or read book Fifty Years of Fuzzy Logic and its Applications written by Dan E. Tamir and published by Springer. This book was released on 2015-05-23 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.

Object Detection and Recognition in Digital Images

Author : Boguslaw Cyganek
Publisher : John Wiley & Sons
ISBN 13 : 111861836X
Total Pages : 518 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Object Detection and Recognition in Digital Images by : Boguslaw Cyganek

Download or read book Object Detection and Recognition in Digital Images written by Boguslaw Cyganek and published by John Wiley & Sons. This book was released on 2013-05-20 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

Computational Intelligence - Volume I

Author : Hisao Ishibuchi
Publisher : EOLSS Publications
ISBN 13 : 1780210205
Total Pages : 400 pages
Book Rating : 4.7/5 (82 download)

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Book Synopsis Computational Intelligence - Volume I by : Hisao Ishibuchi

Download or read book Computational Intelligence - Volume I written by Hisao Ishibuchi and published by EOLSS Publications. This book was released on 2015-12-30 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Computational intelligence is a rapidly growing research field including a wide variety of problem-solving techniques inspired by nature. Traditionally computational intelligence consists of three major research areas: Neural Networks, Fuzzy Systems, and Evolutionary Computation. Neural networks are mathematical models inspired by brains. Neural networks have massively parallel network structures with many neurons and weighted connections. Whereas each neuron has a simple input-output relation, a neural network with many neurons can realize a highly non-linear complicated mapping. Connection weights between neurons can be adjusted in an automated manner by a learning algorithm to realize a non-linear mapping required in a particular application task. Fuzzy systems are mathematical models proposed to handle inherent fuzziness in natural language. For example, it is very difficult to mathematically define the meaning of “cold” in everyday conversations such as “It is cold today” and “Can I have cold water”. The meaning of “cold” may be different in a different situation. Even in the same situation, a different person may have a different meaning. Fuzzy systems offer a mathematical mechanism to handle inherent fuzziness in natural language. As a result, fuzzy systems have been successfully applied to real-world problems by extracting linguistic knowledge from human experts in the form of fuzzy IF-THEN rules. Evolutionary computation includes various population-based search algorithms inspired by evolution in nature. Those algorithms usually have the following three mechanisms: fitness evaluation to measure the quality of each solution, selection to choose good solutions from the current population, and variation operators to generate offspring from parents. Evolutionary computation has high applicability to a wide range of optimization problems with different characteristics since it does not need any explicit mathematical formulations of objective functions. For example, simulation-based fitness evaluation is often used in evolutionary design. Subjective fitness evaluation by a human user is also often used in evolutionary art and music. These volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers.

Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review

Author : Pierpaolo D’Urso
Publisher : Infinite Study
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4./5 ( download)

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Book Synopsis Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review by : Pierpaolo D’Urso

Download or read book Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review written by Pierpaolo D’Urso and published by Infinite Study. This book was released on with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fifty years have gone by since the publication of the ﬁrst paper on clustering based on fuzzy sets theory.

Advances in Civil Engineering and Building Materials

Author : Shuenn-Yih Chang
Publisher : CRC Press
ISBN 13 : 0415643422
Total Pages : 976 pages
Book Rating : 4.4/5 (156 download)

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Book Synopsis Advances in Civil Engineering and Building Materials by : Shuenn-Yih Chang

Download or read book Advances in Civil Engineering and Building Materials written by Shuenn-Yih Chang and published by CRC Press. This book was released on 2012-10-31 with total page 976 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Civil Engineering and Building Materials presents the state-of-the-art development in: - Structural Engineering - Road & Bridge Engineering - Geotechnical Engineering - Architecture & Urban Planning - Transportation Engineering - Hydraulic Engineering - Engineering Management - Computational Mechanics - Construction Technology - Building Materials - Environmental Engineering - Computer Simulation - CAD/CAE Emphasis was given to basic methodologies, scientific development and engineering applications. Advances in Civil Engineering and Building Materials will be useful to professionals, academics, and Ph.D. students interested in the above mentioned areas.

Advanced Digital Image Processing and Its Applications in Big Data

Author : Ankur Dumka
Publisher : CRC Press
ISBN 13 : 1000281310
Total Pages : 237 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Advanced Digital Image Processing and Its Applications in Big Data by : Ankur Dumka

Download or read book Advanced Digital Image Processing and Its Applications in Big Data written by Ankur Dumka and published by CRC Press. This book was released on 2020-12-09 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.