[PDF.57bt] Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

[PDF.en44] Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

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 | #4450012 in Books |  2012-12-12 | Original language:English | PDF # 1 |  9.10 x.90 x6.10l,1.15 | File type: PDF | 262 pages

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Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.

This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable gr...

You can specify the type of files you want, for your gadget.Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications   |  Sanghamitra Bandyopadhyay, Sriparna Saha. I was recommended this book by a dear friend of mine.

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