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.
Recommended Citation
R. Xu and D. C. Wunsch, "Clustering," Wiley-IEEE Press, Jan 2014.
The definitive version is available at https://doi.org/10.1002/9780470382776
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-0470276808
Document Type
Book
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2009 Wiley-IEEE Press, All rights reserved.
Publication Date
01 Jan 2014
