Opening book details…
Can I read Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) on EtoBox?
Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by [edited by] Charu C. Aggarwal, Chandan K. Reddy is a business book available to read on EtoBox.
What is Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) about?
<p>Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains.<br><br>The book focuses on three p
Who reads Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- [edited by] Charu C. Aggarwal, Chandan K. Reddy
- Publisher
- Chapman and Hall/CRC
- Published
- 2013
- Language
- EN
- ISBN
- 9781466558229
- Category
- business
- Subjects
- Business, Programming, Science
- Updated
- 2026-03-24
Other editions & translations
More by [edited by] Charu C. Aggarwal, Chandan K. Reddy
Browse all works by [edited by] Charu C. Aggarwal, Chandan K. Reddy
Similar books
- Constrained Clustering: Advances in Algorithms, Theory, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) — editors, Sugato Basu, Ian Davidson, Kiri Wagstaff (2008)
- Text Mining: Classification, Clustering, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) — Ashok N. Srivastava, Mehran Sahami (2009)
- Industrial Applications of Machine Learning (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) — Pedro Larrañaga; David Atienza; Javier Diaz-Rozo; Alberto Ogbechie; Carlos Esteban Puerto-Santana; Concha Bielza (2018)
- Knowledge Discovery from Data Streams (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) — João Gama (2010)
- Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery and Soft Granular Computing (Chapman & Hall/CRC Computer Science & Data Analysis) — Sankar K Pal; Pabitra Mitra, PhD (2004)
- Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) — Jesús Rogel-Salazar (2017)