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

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...

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Bibliographic Details
Main Authors: Bandyopadhyay, Sanghamitra, Saha, Sriparna (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013, 2013
Edition:1st ed. 2013
Subjects:
Information Systems And Communication Service
Bioinformatics
Computers
Artificial Intelligence
Computational Biology/bioinformatics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chap. 1 Introduction
  • Chap. 2 Some Single- and Multiobjective Optimization Techniques
  • Chap. 3 SimilarityMeasures
  • Chap. 4 Clustering Algorithms
  • Chap. 5 Point Symmetry Based Distance Measures and their Applications to Clustering
  • Chap. 6 A Validity Index Based on Symmetry: Application to Satellite Image Segmentation
  • Chap. 7 Symmetry Based Automatic Clustering
  • Chap. 8 Some Line Symmetry Distance Based Clustering Techniques
  • Chap. 9 Use of Multiobjective Optimization for Data Clustering
  • References
  • Index

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