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

Author : Guojun Gan
Publisher : SIAM
Page : 430 pages
File Size : 10,32 MB
Release : 2020-11-10
Category : Mathematics
ISBN : 1611976332

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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.

Classification, Clustering, and Data Mining Applications

Author : David Banks
Publisher : Springer Science & Business Media
Page : 642 pages
File Size : 11,49 MB
Release : 2011-01-07
Category : Language Arts & Disciplines
ISBN : 3642171036

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This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Classification, Clustering, and Data Analysis

Author : Krzystof Jajuga
Publisher : Springer Science & Business Media
Page : 468 pages
File Size : 36,35 MB
Release : 2012-12-06
Category : Computers
ISBN : 3642561810

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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.

Clustering Algorithms

Author : John A. Hartigan
Publisher : John Wiley & Sons
Page : 374 pages
File Size : 22,46 MB
Release : 1975
Category : Mathematics
ISBN :

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Shows how Galileo, Newton, and Einstein tried to explain gravity. Discusses the concept of microgravity and NASA's research on gravity and microgravity.

Clustering and Classification

Author : Phipps Arabie
Publisher : World Scientific
Page : 508 pages
File Size : 50,64 MB
Release : 1996
Category : Mathematics
ISBN : 9789810212872

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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.

Clustering

Author : Rui Xu
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 50,16 MB
Release : 2008-11-03
Category : Mathematics
ISBN : 0470382783

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This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.

Clustering And Classification

Author : Phips Arabie
Publisher : World Scientific
Page : 501 pages
File Size : 42,85 MB
Release : 1996-01-29
Category : Computers
ISBN : 981450453X

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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.