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┌────────────────────────────────────────────────────────────────────────────┐
│■■ » RELEASE iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ TiTLE : Grouping Multidimensional Data : Recent Advances in │░│
│░│ Clustering (Hardcover) │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ AUTHOR : Jacob Kogan │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ PUBLISHER : Springer │░│
│░├────────────────────────────────────┬───────────────────────────────────┤░│
│░│ iSBN : 354028348X │ MAKER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ PAGES : 268 Pages │ PACKAGER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ EDiTiON : February 10, 2006 │ SUPPLiER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ LANGUAGE : ENGLISH │ FORMAT : PDF │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ RLS DATE : 03/23/06 │ SiZE : 7.03 MB │░│
┌─┴────────────────────────────────────┴───────────────────────────────────┴─┐
│■■ » RELEASE NOTES « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ [Product Information] │░│
│░│ │░│
│░│ 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. │░│
│░│ │░│
│░│ │░│
│░│ [Install Information] │░│
│░│ │░│
│░│ Unpack it ! │░│
│░│ │░│
│░│ [For more information] │░│
│░│ │░│
│░│ http://www.amazon.com/exec/obidos/tg/detail/-/354028348X/ │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ » CONTACT iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ Nothing but suppliers ATM! │░│
│░│ │░│
│░│ If you wish to contact us, you may email us at: │░│
│░│ Email: teamddu[at]land[dot]ru │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ TEAM DDU ( Day Day UP ) 2004 x!FEAR ■■│
└────────────────────────────────────────────────────────────────────────────┘