Download ~ Grouping Multidimensional Data # by Jacob Kogan, Charles Nicholas & Marc Teboulle ~ Book PDF Kindle ePub Free

eBook details

Title: Grouping Multidimensional Data
Author : Jacob Kogan, Charles Nicholas & Marc Teboulle
Release Date : January 08, 2006
Genre: Computers,Books,Computers & Internet,System Administration,Science & Nature,Mathematics,
Pages : * pages
Size : 8222 KB

Description

Clustering is 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.

Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, 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.

The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas.