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Download e-book for kindle: Advances in K-means Clustering: A Data Mining Thinking by Junjie Wu

By Junjie Wu

Nearly we all know K-means set of rules within the fields of information mining and enterprise intelligence. however the ever-emerging information with super complex features carry new demanding situations to this "old" set of rules. This publication addresses those demanding situations and makes novel contributions in developing theoretical frameworks for K-means distances and K-means dependent consensus clustering, determining the "dangerous" uniform impression and zero-value problem of K-means, adapting correct measures for cluster validity, and integrating K-means with SVMs for infrequent classification research. This e-book not just enriches the clustering and optimization theories, but in addition offers stable suggestions for the sensible use of K-means, in particular for vital projects similar to community intrusion detection and credits fraud prediction. The thesis on which this booklet relies has gained the "2010 nationwide first-class Doctoral Dissertation Award", the top honor for no more than a hundred PhD theses in keeping with yr in China.

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Advances in K-means Clustering: A Data Mining Thinking (Springer Theses) by Junjie Wu

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