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About this book
The second, revised edition of this book was suggested by the impressive sales of the first edition. Fortunately this enabled us to incorporate new important results that had just been obtained. The ASSOM (Adaptive-Subspace SOM) is a new architecture in which invariant-feature detectors emerge in an unsupervised learning process. Its basic principle was already introduced in the first edition, but the motiva tion and theoretical discussion in the second edition is more thorough and consequent. New material has been added to Sect. 5.9 and this section has been rewritten totally. Correspondingly, Sect. 1.4, which deals with adaptive subspace classifiers in general and constitutes the prerequisite for the ASSOM principle, has also been extended and rewritten totally. Another new SOM development is the WEBSOM, a two-layer architecture intended for the organization of very large collections of full-text documents such as those found in the Internet and World Wide Web. This architecture was published after the first edition came out. The idea and results seemed to be so important that the new Sect. 7.8 has now been added to the second edition. Another addition that contains new results is Sect. 3.15, which describes the acceleration in the computing of very large SOMs. It was also felt that Chap. 7, which deals with 80M applications, had to be extended.
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Table of contents (10 chapters)
Reviews
"Rarely do books come along with an information density and value of content far above average. We now have another book in this category...a marvelous tool for finding just about any information that exists regarding self-organising maps. Rarely has any subject been provided with such an index of knowledge...Kohonen has created a masterpiece. I unhesitatingly recommend it." IEEE
Authors and Affiliations
Bibliographic Information
Book Title: Self-Organizing Maps
Authors: Teuvo Kohonen
Series Title: Springer Series in Information Sciences
DOI: https://doi.org/10.1007/978-3-642-97966-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1997
eBook ISBN: 978-3-642-97966-8Published: 06 December 2012
Series ISSN: 0720-678X
Edition Number: 2
Number of Pages: XVII, 426
Number of Illustrations: 116 b/w illustrations, 1 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Neurosciences, Biological and Medical Physics, Biophysics, Communications Engineering, Networks, Mathematics, general