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Unsupervised Classification

Similarity Measures, Classical and Metaheuristic Approaches, and Applications
BookPaperback
Ranking42803in
CHF69.00

Description

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.
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Details

ISBN/GTIN978-3-642-42836-4
Product TypeBook
BindingPaperback
PublisherSpringer
Publishing date29/01/2015
Edition2013
Pages280 pages
LanguageEnglish
SizeWidth 155 mm, Height 235 mm, Thickness 16 mm
Weight429 g
Article no.3757367
CatalogsBuchzentrum
Data source no.18278379
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Author

Prof. Sanghamitra Bandyopadhyay has many years of experience in the development of soft computing techniques. Among other awards and positions, she has received senior researcher Humboldt Fellowships, and she is a regular visitor to the DKFZ (German Cancer Research Centre) and to European and North American universities, collaborating in multidisciplinary teams on applications in the areas of computational biology and bioinformatics. Among other awards Prof. Bandyopadhyay received the prestigious Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2010, she is a Fellow of the National Academy of Sciences of India and she is a Fellow of the Indian National Academy of Engineering. Dr. Sriparna Saha is an assistant professor in the Indian Institute of Technology Patna. Among her positions and awards, she was a postdoctoral researcher in Trento and in Heidelberg, and she received the Google India Women in Engineering Award in 2008. Her research interests include multiobjective optimization, evolutionary computation, clustering, and pattern recognition.

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