Grouping Multidimensional Data : Recent Advances in Clustering • Kogan, Nicholas
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