|
Login to ask the library to add a book.
|
|
Active Filter Settings
No Active Filters
|
|
|
|
|
first record
| previous record
| next record
| last record
|
full | marc
|
Record 1 of 1
|
|
| |
Total Requests 0 Unsatisfied Requests 0
|
|
You searched IISERK - Author: Jing, Lanru.
|
| Request |
|
|
Call Number
|
519.5/3
|
|
Author
|
Gan, Guojun, 1979-
|
|
Title
|
Data clustering [electronic resource] : theory, algorithms, and applications / Guojun Gan, Chaoqun Ma, Jianhong Wu.
|
|
Publication
|
Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2007.
|
|
Material Info.
|
1 electronic text (xxii, 466 p.) : ill., digital file.
|
|
Series
|
ASA-SIAM series on statistics and applied probability ; 20
|
|
Series
|
ASA-SIAM series on statistics and applied probability ; 20.
|
|
Summary Note
|
Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, center-based, and search-based methods. As a result, readers and users can easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Readers also learn how to perform cluster analysis with the C/C++ and MATLAB programming languages.
|
|
Notes
|
Includes bibliographical references (p. 397-441) and indexes.
|
|
Notes
|
Preface -- Part I. Clustering, Data and Similarity -- 1. Data clustering -- 2. Data Types -- 3. Scale conversion -- 4. Data standardization and transformation -- 5. Data visualization -- 6. Similarity and dissimilarity measures --
|
|
Notes
|
Part II. Clustering Algorithms -- 7. Hierarchical clustering techniques -- 8. Fuzzy clustering algorithms -- 9. Center Based Clustering Algorithms -- 10. Search based clustering algorithms -- 11. Graph based clustering algorithms -- 12. Grid based clustering algorithms -- 13. Density based clustering algorithms -- 14. Model based clustering algorithms -- 15. Subspace clustering -- 16. Miscellaneous algorithms -- 17. Evaluation of clustering algorithms --
|
|
Notes
|
Part III. Applications of Clustering -- 18. Clustering gene expression data --
|
|
Notes
|
Part IV. Matlab and C++ for Clustering -- 19. Data clustering in Matlab -- 20. Clustering in C/C++ --
|
|
Notes
|
A. Some clustering algorithms -- B. Thekd-tree data structure -- C. Matlab Codes -- D. C++ Codes -- Subject index -- Author index.
|
|
ISBN
|
9780898718348 (electronic bk.)
|
|
Subject
|
Cluster Analysis.
|
|
Subject
|
Cluster analysis Data processing.
|
|
Subject
|
Clustering
|
|
Subject
|
Cluster analysis
|
|
Subject
|
Algorithm
|
|
Subject
|
Data mining
|
|
Subject
|
Gene expression
|
|
Subject
|
Statistical method
|
|
Subject
|
Neural network approach
|
|
Added Entry
|
Ma, Chaoqun, Ph. D.
|
|
Added Entry
|
Wu, Jianhong.
|
|
Added Entry
|
Society for Industrial and Applied Mathematics.
|
|
Date
|
Year, Month, Day:01405141
|
|
Link
|
SIAM
|
|
|
|
|
