[PDF.98tg] Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

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

[PDF.ub48] Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

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 | #5245509 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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|| ||From the reviews:|“The book focuses on emerging metaheuristic approaches to unsupervised classification, with an emphasis on a symmetry-based definition of similarity. … I found this book very appealing. I also thought of it as very valuable for

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.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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