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出版社：Chapman and Hall/CRC;
出版日期：1 edition (2015/12/1)
格式：pdf
是否高清：原版高清
页数：753
所属系列： Chapman & Hall/CRC Handbooks of Modern Statistical Methods
论坛是否有：没有
推荐理由：本书是关于聚类的一本非常全面的书籍，书中介绍了聚类的各种算法，全书有30多章，从优化理论，到具体的聚类算法。是目前聚类方面最为全面的书籍，内容之广泛，令人叹为观止。是研究聚类的必读书籍，因此推荐给大家。
Handbook of Cluster Analysis.pdf
(39.63 MB, 需要: 20 个论坛币)
目录：
1.Cluster Analysis: An Overview
2.A Brief History of Cluster Analysis
3. Quadratic Error and k-Means
4. K-Medoids and Other Criteria for Crisp Clustering
5. Foundations for Center-Based Clustering: Worst-Case Approximations
6. Hierarchical Clustering
7. Spectral Clustering
8. Mixture Models for Standard p-Dimensional Euclidean Data
9. Latent Class Models for Categorical Data
10. Dirichlet Process Mixtures and Nonparametric Bayesian Approaches
11. Finite Mixtures of Structured Models
12. Time-Series Clustering
13. Clustering Functional Data
14. Methods Based on Spatial Processes
15. Significance Testing in Clustering
16. Model-Based Clustering for Network Data
17. A Formulation in Modal Clustering Based on Upper Level Sets
18. Clustering Methods Based on Kernel Density Estimators:
19. Nature-Inspired Clustering
20. Semi-Supervised Clustering
21. Clustering of Symbolic Data
22. A Survey of Consensus Clustering
23. Two-Mode Partitioning and Multipartitioning
24. Fuzzy Clustering
25. Rough Set Clustering
26. Method-Independent Indices for Cluster Validation and Estimating the
27. Criteria for Comparing Clusterings
28. Resampling Methods for Exploring Cluster Stability
29. Robustness and Outliers
30. Visual Clustering for Data Analysis and Graphical User Interfaces
31. Clustering Strategy and Method Selection
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