Grouping Multidimensional Data: Recent Advances in Clustering - Couverture rigide

Couverture rigide

ISBN 10 : 354028348X ISBN 13 : 9783540283485

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2005

Synopsis

One of the most fundamental and essential data analysis techniques, clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. This book brings together recent advances in clustering large and high-dimension data, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview.

A propos du livre

À propos de l?auteur

Jacob Kogan is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland Baltimore County. Dr. Kogan received his Ph.D. in Mathematics from Weizmann Institute of Science, and 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. From 2001 he has also been affiliated with the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County.

Charles Nicholas is currently a Professor of Computer Science and Chair of the Computer Science and Electrical Engineering Department at UMBC, where he has been since 1988. He received his Ph.D. from The Ohio State University in 1988. Dr. Nicholas' research interestsinclude electronic document processing, information retrieval, and software engineering. Dr. Nicholas has served five times as the General Chair of the ACM Conference on Information and Knowledge Management (CIKM), most recently in 2002. He also twice chaired the Workshop on Digital Document Processing, PODP'96 and PODDP'98.

Marc Teboulle is a Professor in the School of Mathematical Sciences, Tel-Aviv University. He received his D.Sc. from the Technion, Israel Institute of Technology in 1985, and has held positions at the Israel Aircraft Industries, Dalhousie University, the University of Maryland, and visiting positions in various academic institutions in France and the USA. His main research interests are in the area of nonlinear optimization: theory, algorithmic analysis and its applications. He is on the editorial board of the journals: Mathematics of Operations Research and the European Series in Applied and Industrial Mathematics, Control, Optimisation and Calculus of Variations. He served as chairman of the Department of Statistics and Operations Researchat the School of Mathematical Sciences of Tel-Aviv University during 1999-2002.

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 2005
• Langue: anglais
• ISBN 10: 354028348X
• ISBN 13: 9783540283485
• Reliure: Relié
• Nombre de pages: 268
• Éditeur: Kogan Jacob, Nicholas Charles, Teboulle Marc
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne