Constrained Clustering
Language: English
Published by Taylor & Francis Group, 2008
Series: Book 4 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
- New
Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
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Condition: New
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pp. 472.
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- Title
- Constrained Clustering
- Publisher
- Taylor & Francis Group
- Publication year
- 2008
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1584889969
- ISBN 13
- 9781584889960
- Series
- Book 4 of 56: Chapman & Hall/CRC Data Mining and Knowledge Discovery
Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and Applications presents an extensive collection of the latest innovations in clustering data analysis methods that use background knowledge encoded as constraints.
Algorithms
The first five chapters of this volume investigate advances in the use of instance-level, pairwise constraints for partitional and hierarchical clustering. The book then explores other types of constraints for clustering, including cluster size balancing, minimum cluster size,and cluster-level relational constraints.
Theory
It also describes variations of the traditional clustering under constraints problem as well as approximation algorithms with helpful performance guarantees.
Applications
The book ends by applying clustering with constraints to relational data, privacy-preserving data publishing, and video surveillance data. It discusses an interactive visual clustering approach, a distance metric learning approach, existential constraints, and automatically generated constraints.
With contributions from industrial researchers and leading academic experts who pioneered the field, this volume delivers thorough coverage of the capabilities and limitations of constrained clustering methods as well as introduces new types of constraints and clustering algorithms.
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Books Puddle
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