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Data Clustering: Theory, Algorithms, and Applications

Data Clustering: Theory, Algorithms, and Applications


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Product Details

ISBN-13: 9780898716238
Publisher: SIAM
Publication date: 05/30/2007
Edition description: New Edition
Pages: 466
Product dimensions: 6.85(w) x 9.72(h) x 1.02(d)

About the Author

Guojun Gan is a Ph.D. candidate in the Department of Mathematics and Statistics at York University, Ontario, Canada.

Chaoqun Ma is Professor and the Deputy Dean of the College of Business Administration at Hunan University, People's Republic of China.

Jianhong Wu is a Senior Canada Research Chair in Applied Mathematics at York University, Ontario, Canada.

Table of Contents

Preface; Part I. Clustering, Data and Similarity Measures: 1. Data clustering; 2. DataTypes; 3. Scale conversion; 4. Data standardization and transformation; 5. Data visualization; 6. Similarity and dissimilarity measures; 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; Part III. Applications of Clustering: 18. Clustering gene expression data; Part IV. Matlab and C++ for Clustering: 19. Data clustering in Matlab; 20. Clustering in C/C++; A. Some clustering algorithms; B. Thekd-tree data structure; C. Matlab Codes; D. C++ Codes; Subject index; Author index.

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