Self-Organizing Maps
by George K Matsopoulos
Publisher: InTech 2010
ISBN-13: 9789533070742
Number of pages: 430
Description:
From the table of contents: Learning the Number of Clusters in Self Organizing Map; Neural-Network Enhanced Visualization of High-Dimensional Data; SOM-based Applications in Remote Sensing; Segmentation of Satellite Images Using SOM; Face Recognition Using SOM; Fingerprint Matching with SOM; SOM in Web Mining and Semantic Web; etc.
Download or read it online for free here:
Download link
(36MB, PDF)
Similar books

by Yoav Shoham, Kevin Leyton-Brown - Cambridge University Press
Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.
(12177 views)

by Andras Kornai
The book introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed.
(16999 views)

by Andrea Gaggioli, et al. - De Gruyter Open Ltd
Human computer confluence is a research area aimed at developing an effective, transparent, bidirectional communication between humans and computers, which has the potential to enable new forms of sensing, perception, interaction, and understanding.
(6278 views)

by Bill Hibbard - arXiv
This book analyzes the issues of ethical artificial intelligence. The behavior of future AI systems can be described by mathematical equations, which are adapted to analyze possible unintended AI behaviors and ways that AI designs can avoid them.
(8725 views)