East Baton Rouge Parish Library

Data clustering, algorithms and applications, edited by Charu C. Aggarwal, Chandan K. Reddy

eng

Includes bibliographical references

illustrations

no index present

non fiction

Data clustering

dictionariesbibliography

1861794460

edited by Charu C. Aggarwal, Chandan K. Reddy

Chapman & Hall/CRC data mining and knowledge discovery series

algorithms and applications

This title covers clustering, from basic methods to more refined and complex data clustering approaches, paying special attention to recent issues in graphs, social networks, and other domains. It presents core methods for data clustering, including probabilistic, density- and grid-based, and spectral clustering and explores various problems and scenarios pertaining to multimedia, text, biological, categorical, network, streams, and uncertain data

1. An introduction to cluster analysis / Charu C. Aggarwal -- 2. Feature selection for clustering : a review / Salem Alelyani, Jiliang Tang, and Huan Liu -- 3. Probabilistic models for clustering / Hongbo Deng and Jiawei Han -- 4. A survey of partitional and hierarchical clustering algorithms / Chandan K. Reddy and Bhanukiran Vinzamuri -- 5. Density-based clustering / Martin Ester -- 6. Grid-based clustering / Wei Cheng, Wei Wang, and Sandra Batista -- 7. Nonnegative matrix factorizations for clustering : a survey / Tao Li and Chris Ding -- 8. Spectral clustering / Jialu Liu and Jiawei Han -- 9. Clustering high-dimensional data / Arthur Zimek -- 10. A survey of stream clustering algorithms / Charu C. Aggarwal -- 11. Big data clustering / Hanghang Tong and U Kang -- 12. Clustering categorical data / Bill Andreopoulos -- 13. Document clustering : the next frontier / David C. Anastasiu, Andrea Tagarelli, and George Karypis -- 14. Clustering multimedia data / Shen-Fu Tsai [and four others] -- 15. Time-series data clustering / Dimitrios Kotsakos [and three others] -- 16. Clustering biological data / Chandan K. Reddy, Mohammad Al Hasan, and Mohammed J. Zaki -- 17. Network clustering / Srinivasan Parthasarathy and S.M. Faisal -- 18. A survey of uncertain data clustering algorithms / Charu C. Aggarwal -- 19. Concepts of visual and interactive clustering / Alexander Hinneburg -- 20. Semisupervised clustering / Amrudin Agovic and Arindam Banerjee -- 21. Alternative clustering analysis : a review / James Bailey -- 22. Cluster ensembles : theory and applications / Joydeep Ghosh and Ayan Acharya -- 23. Clustering validation measures / Hui Xiong and Zhongmou Li -- 24. Educational and software resources for data clustering / Charu C. Aggarwal and Chandan K. Reddy