Data Clustering: Theory, Algorithms, and Applications
Published on 12. July 2007
Book
Paperback/Softback
184 pages
978-0-89871-623-8 (ISBN)
Description
Reference and compendium of algorithms for pattern recognition, data mining and statistical computing.
More details
Persons
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.
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.
Content
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.