Description: Grouping Multidimensional Data Recent Advances in Clusteringby Jacob Kogan, Charles Nicholas, Marc Teboulle ISBN-13: 9783540283485 ISBN-10: 354028348X Publisher: Springer Binding: Hardcover Publication Year: 2006 Condition: Very Good – clean pages About: refer to image(s) Contents: The Star Clustering Algorithm for Information Organization A Survey of Clustering Data Mining Techniques Similarity-Based Text Clustering: A Comparative Study Clustering Very Large Data Sets with Principal Direction Divisive Partitioning Clustering with Entropy-Like k-Means Algorithms Sampling Methods for Building Initial Partitions TMG: A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections Criterion Functions for Clustering on High-Dimensional Data mySku 6284
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Subject Area: Computer Vision & Pattern Recognition, Data Processing, Storage & Retrieval, Cluster analysis, Data Mining, database
Publication Name: Grouping Multidimensional Data : Recent Advances in Clustering
Publisher: Springer Berlin / Heidelberg
Subject: Mathematics, Computers, Probability & Statistics
Publication Year: 2005
Type: Textbook
Format: Hardcover
Language: English
Author: Charles Nicholas, Jacob Kogan, Marc Teboulle
Educational Level: Adult & Further Education
Level: Scholarly & Professional
Country/Region of Manufacture: Netherlands
Number of Pages: 268 Pages
