Author: Helmut SpaethPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Cluster Analysis Algorithms for data reduction and classification of objects
Author: Helmut SpaethCluster Analysis Algorithms for Data Reduction and Classification of Objects
Author: Helmuth SpäthPublisher: Ellis Horwood
ISBN:
Category : Mathematics
Languages : en
Pages : 248
Book Description
Data Clustering: Theory, Algorithms, and Applications, Second Edition
Author: Guojun GanPublisher: SIAM
ISBN: 1611976332
Category : Mathematics
Languages : en
Pages : 430
Book Description
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 BanksPublisher: Springer Science & Business Media
ISBN: 3642171036
Category : Language Arts & Disciplines
Languages : en
Pages : 642
Book Description
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 JajugaPublisher: Springer Science & Business Media
ISBN: 3642561810
Category : Computers
Languages : en
Pages : 468
Book Description
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 algorithms
Author: Helmuth SpathClustering and Classification
Author: Phipps ArabiePublisher: World Scientific
ISBN: 9789810212872
Category : Mathematics
Languages : en
Pages : 508
Book Description
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 Algorithms
Author: John A. HartiganPublisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 374
Book Description
Shows how Galileo, Newton, and Einstein tried to explain gravity. Discusses the concept of microgravity and NASA's research on gravity and microgravity.
Clustering
Author: Rui XuPublisher: John Wiley & Sons
ISBN: 0470382783
Category : Mathematics
Languages : en
Pages : 400
Book Description
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 ArabiePublisher: World Scientific
ISBN: 981450453X
Category : Computers
Languages : en
Pages : 501
Book Description
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.