Title

Clustering

Abstract

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. the authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.

Department(s)

Electrical and Computer Engineering

International Standard Book Number (ISBN)

9780470276808

Document Type

Book

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2009 Wiley-IEEE Press, All rights reserved.


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