Introduction to Clustering Large and High-Dimensional Data - Brossura

Kogan, Jacob

 
9780521617932: Introduction to Clustering Large and High-Dimensional Data

Sinossi

Focuses on a few of the important clustering algorithms in the context of information retrieval.

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Informazioni sull?autore

Jacob Kogan is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County. Dr. Kogan received his PhD in Mathematics from Weizmann Institute of Science, has held teaching and research positions at the University of Toronto and Purdue University. His research interests include Text and Data Mining, Optimization, Calculus of Variations, Optimal Control Theory, and Robust Stability of Control Systems. Dr. Kogan is the author of Bifurcations of Extremals in Optimal Control and Robust Stability and Convexity: An Introduction. Since 2001, he has also been affiliated with the Department of Computer Science and Electrical Engineering at UMBC. Dr. Kogan is a recipient of 2004–2005 Fulbright Fellowship to Israel. Together with Charles Nicholas of UMBC and Marc Teboulle of Tel-Aviv University he is co-editor of the volume Grouping Multidimensional Data: Recent Advances in Clustering.

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Altre edizioni note dello stesso titolo

9780521852678: Introduction to Clustering Large and High-Dimensional Data

Edizione in evidenza

ISBN 10:  0521852676 ISBN 13:  9780521852678
Casa editrice: Cambridge University Press, 2006
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