Coverart for item
The Resource Unsupervised classification : similarity measures, classical and metaheuristic approaches, and applications, Sanghamitra Bandyopadhyay (Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India), Sriparna Saha (Dept. of Computer Science, Indian Institute of Technology, Patna, India)

Unsupervised classification : similarity measures, classical and metaheuristic approaches, and applications, Sanghamitra Bandyopadhyay (Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India), Sriparna Saha (Dept. of Computer Science, Indian Institute of Technology, Patna, India)

Label
Unsupervised classification : similarity measures, classical and metaheuristic approaches, and applications
Title
Unsupervised classification
Title remainder
similarity measures, classical and metaheuristic approaches, and applications
Statement of responsibility
Sanghamitra Bandyopadhyay (Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India), Sriparna Saha (Dept. of Computer Science, Indian Institute of Technology, Patna, India)
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Contributor
Author
Subject
Language
eng
Summary
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 book focuses on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection. --
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Edited summary from book
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CtWfDGI
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Unsupervised classification : similarity measures, classical and metaheuristic approaches, and applications, Sanghamitra Bandyopadhyay (Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India), Sriparna Saha (Dept. of Computer Science, Indian Institute of Technology, Patna, India)
Label
Unsupervised classification : similarity measures, classical and metaheuristic approaches, and applications, Sanghamitra Bandyopadhyay (Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India), Sriparna Saha (Dept. of Computer Science, Indian Institute of Technology, Patna, India)
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Copyright
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
txt
Content type MARC source
rdacontent
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783642324512&userID=ebsco-test&password=ebsco-test
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unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4359338'}
Extent
1 online resource (xviii, 262 pages)
Form of item
online
Isbn
9783642324512
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote

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