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Constrained Clustering : Advances in Algorithms, Theory, and Applications - Ian Muehlenhaus

Constrained Clustering

Advances in Algorithms, Theory, and Applications

By: Ian Muehlenhaus

eText | 18 August 2008 | Edition Number 1

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This volume encompasses many new types of constraints and clustering methods as well as delivers thorough coverage of the capabilities and limitations of constrained clustering. With contributions from industrial researchers and leading academic experts who pioneered the field, it provides a well-balanced combination of theoretical advances, key algorithmic development, and novel applications. The book presents various types of constraints for clustering and describes useful variations of the standard problem of clustering under constraints. It also demonstrates the application of clustering with constraints to relational, bibliographic, and video data.

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