Cluster Analysis for Applications

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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.

Cluster Analysis and Applications

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Publisher : Springer Nature
ISBN 13 : 303074552X
Total Pages : 277 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Cluster Analysis and Applications by : Rudolf Scitovski

Download or read book Cluster Analysis and Applications written by Rudolf Scitovski and published by Springer Nature. This book was released on 2021-07-22 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods, Cluster Analysis and Applications also includes coverage of deep learning based clustering methods. With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or data science.

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

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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.

Cluster Analysis

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Publisher : Chronicle Books
ISBN 13 : 9780803923768
Total Pages : 92 pages
Book Rating : 4.9/5 (237 download)

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Book Synopsis Cluster Analysis by : Mark S. Aldenderfer

Download or read book Cluster Analysis written by Mark S. Aldenderfer and published by Chronicle Books. This book was released on 1984-11 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although clustering--the classification of objects into meaningful sets--is an important procedure in the social sciences today, cluster analysis as a multivariate statistical procedure is poorly understood by many social scientists. This volume is an introduction to cluster analysis for social scientists and students.

Cluster Analysis

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Publisher :
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (878 download)

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Book Synopsis Cluster Analysis by : Brian S. Everitt

Download or read book Cluster Analysis written by Brian S. Everitt and published by . This book was released on 1977 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Classification, Clustering, and Data Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 3642561810
Total Pages : 468 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Classification, Clustering, and Data Analysis by : Krzystof Jajuga

Download or read book Classification, Clustering, and Data Analysis written by Krzystof Jajuga and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.

Cluster Analysis and Data Mining

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Publisher : Mercury Learning and Information
ISBN 13 : 1942270135
Total Pages : 300 pages
Book Rating : 4.9/5 (422 download)

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Book Synopsis Cluster Analysis and Data Mining by : Ronald S. King

Download or read book Cluster Analysis and Data Mining written by Ronald S. King and published by Mercury Learning and Information. This book was released on 2015-05-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. FEATURES *Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward’s method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.) *Contains separate chapters on JAN and the clustering of categorical data *Includes a companion disc with solutions to exercises, programs, data sets, charts, etc.

Cluster analysis for applications

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Publisher :
ISBN 13 :
Total Pages : 359 pages
Book Rating : 4.:/5 (63 download)

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Book Synopsis Cluster analysis for applications by : Michael Rex Anderberg

Download or read book Cluster analysis for applications written by Michael Rex Anderberg and published by . This book was released on 1982 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Finding Groups in Data

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Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Finding Groups in Data by : Leonard Kaufman

Download or read book Finding Groups in Data written by Leonard Kaufman and published by Wiley-Interscience. This book was released on 1990-03-22 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Partitioning around medoids (Program PAM). Clustering large applications (Program CLARA). Fuzzy analysis (Program FANNY). Agglomerative Nesting (Program AGNES). Divisive analysis (Program DIANA). Monothetic analysis (Program MONA). Appendix.

Cluster Analysis in Neuropsychological Research

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Publisher : Springer Science & Business Media
ISBN 13 : 1461467446
Total Pages : 136 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Cluster Analysis in Neuropsychological Research by : Daniel N. Allen

Download or read book Cluster Analysis in Neuropsychological Research written by Daniel N. Allen and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​​ ​Cluster analysis is a multivariate classification technique that allows for identification of homogenous subgroups within diverse samples based on shared characteristics. In recent years, cluster analysis has been increasingly applied to psychological and neuropsychological variables to address a number of empirical questions. This book provides an overview of cluster analysis, including statistical and methodological considerations in its application to neurobehavioral variables. First, an introduction to cluster analysis is presented that emphasizes issues of relevance to neuropsychological research, including controversies surrounding it use. Cluster analysis is then applied to clinical disorders that do not have an associated prototypical neuropsychological profile, including traumatic brain injury, schizophrenia, and health problems associated with homelessness. In a second application, cluster analysis is used to investigate the course of normal memory development. Finally, cluster analysis is applied to classification of brain injury severity in children and adolescents who sustained traumatic brain injury.

Fuzzy Cluster Analysis

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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)

Classification, Clustering, and Data Mining Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3540220143
Total Pages : 676 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Classification, Clustering, and Data Mining Applications by : International Federation of Classification Societies. Conference

Download or read book Classification, Clustering, and Data Mining Applications written by International Federation of Classification Societies. Conference and published by Springer Science & Business Media. This book was released on 2004-06-09 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Data Clustering

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Publisher : CRC Press
ISBN 13 : 1466558229
Total Pages : 652 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Data Clustering by : Charu C. Aggarwal

Download or read book Data Clustering written by Charu C. Aggarwal and published by CRC Press. This book was released on 2013-08-21 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

Clustering and Classification

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Publisher : World Scientific
ISBN 13 : 9789810212872
Total Pages : 508 pages
Book Rating : 4.2/5 (128 download)

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Book Synopsis Clustering and Classification by : Phipps Arabie

Download or read book Clustering and Classification written by Phipps Arabie and published by World Scientific. This book was released on 1996 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.

Handbook of Cluster Analysis

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Publisher : CRC Press
ISBN 13 : 1466551895
Total Pages : 753 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Handbook of Cluster Analysis by : Christian Hennig

Download or read book Handbook of Cluster Analysis written by Christian Hennig and published by CRC Press. This book was released on 2015-12-16 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The

Cluster Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 0470978449
Total Pages : 302 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Cluster Analysis by : Brian S. Everitt

Download or read book Cluster Analysis written by Brian S. Everitt and published by John Wiley & Sons. This book was released on 2011-01-14 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics. This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. Key Features: Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies./li> Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.

Cluster Analysis for Data Mining and System Identification

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Publisher : Springer Science & Business Media
ISBN 13 : 376437988X
Total Pages : 317 pages
Book Rating : 4.7/5 (643 download)

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Book Synopsis Cluster Analysis for Data Mining and System Identification by : János Abonyi

Download or read book Cluster Analysis for Data Mining and System Identification written by János Abonyi and published by Springer Science & Business Media. This book was released on 2007-08-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.