Clustering for data mining a data recovery approach

Presents a theory that not only closes gaps in K-Means and Ward methods, but also extends them into areas of interest, such as clustering mixed scale data and incomplete clustering. This work suggests methods for both cluster finding and cluster description, and includes nearly 60 computational exam...

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Bibliographic Details

Main Author:	Mirkin, B. G. (Boris Grigorʹevich) (Author)
Format:	Book
Language:	English
Published:	Boca Raton, FL Chapman & Hall/CRC 2005
Series:	Series in computer science and data analysis volume 3
Subjects:	Data mining Cluster analysis
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