Skip to main content alibris logo

Grouping Multidimensional Data: Recent Advances in Clustering

by , ,

Write The First Customer Review
Grouping Multidimensional Data: Recent Advances in Clustering - Kogan, Jacob, Professor (Editor), and Nicholas, Charles (Editor), and Teboulle, Marc (Editor)
Filter Results
Item Condition
Seller Rating
Other Options
Change Currency

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 ...

loading
Grouping Multidimensional Data: Recent Advances in Clustering 2010, Springer, Berlin, Heidelberg

ISBN-13: 9783642066542

Trade paperback

Grouping Multidimensional Data: Recent Advances in Clustering 2005, Springer, Berlin, Heidelberg

ISBN-13: 9783540283485

2006 edition

Hardcover