Grouping Multidimensional Data is popular PDF and ePub book, written by Jacob Kogan in 2006-02-08, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Grouping Multidimensional Data can be Read Online from any device for your convenience.
Grouping Multidimensional Data Book PDF Summary
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.
Detail Book of Grouping Multidimensional Data PDF
- Author : Jacob Kogan
- Release : 08 February 2006
- Publisher : Springer Science & Business Media
- ISBN : 9783540283492
- Genre : Computers
- Total Page : 268 pages
- Language : English
- PDF File Size : 15,6 Mb
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