3. Rough-Fuzzy Clustering: Generalized cA-Means Algorithm

  1. Pradipta Maji1 and
  2. Sankar K. Pal2

Published Online: 17 FEB 2012

DOI: 10.1002/9781118119723.ch3

Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging

Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging

How to Cite

Maji, P. and Pal, S. K. (2012) Rough-Fuzzy Clustering: Generalized cA-Means Algorithm, in Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118119723.ch3

Author Information

  1. 1

    Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

  2. 2

    Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India

Publication History

  1. Published Online: 17 FEB 2012
  2. Published Print: 27 JAN 2012

Book Series:

  1. Wiley Series on Bioinformatics: Computational Techniques and Engineering

Book Series Editors:

  1. Yi Pan and
  2. Albert Y. Zomaya

Series Editor Information

  1. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

ISBN Information

Print ISBN: 9781118004401

Online ISBN: 9781118119723

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Keywords:

  • rough-fuzzy clustering, generalized c-means algorithm, and cluster analysis;
  • RFPCM, and HCM, FCM, PCM, RCM, variants of c-means algorithms;
  • RFPCM, noise sensitivity avoidance of FCM, PCM, in knowledge discovery

Summary

This chapter contains sections titled:

  • Introduction

  • Existing c-Means Algorithms

  • Rough-Fuzzy-Possibilistic c-Means

  • Generalization of Existing c-Means Algorithms

  • Quantitative Indices for Rough-Fuzzy Clustering

  • Performance Analysis

  • Conclusion and Discussion

  • References