# A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification

@article{Pakhira2005ASO, title={A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification}, author={Malay Kumar Pakhira and Sanghamitra Bandyopadhyay and Ujjwal Maulik}, journal={Fuzzy Sets Syst.}, year={2005}, volume={155}, pages={191-214} }

## 204 Citations

Applications of an enhanced cluster validity index method based on the Fuzzy C-means and rough set theories to partition and classification

- Computer ScienceExpert Syst. Appl.
- 2010

An enhanced classification method comprising a genetic algorithm, rough set theory and a modified PBMF-index function

- Computer ScienceAppl. Soft Comput.
- 2012

A classification approach based on variable precision rough sets and cluster validity index function

- Computer Science
- 2014

This method combines a particle swarm optimization algorithm, fuzzy C-means method, variable precision rough sets theory, and a new cluster validity index function to cluster the values of the individual attributes within the data set.

An Empirical Study on Fuzzy Image Clustering with Various Clustering Validity Indexes

- Computer Science2012 Sixth International Conference on Genetic and Evolutionary Computing
- 2012

A new clustering validity index, WLI, that considers the median effects of image clustering using the fuzzy c-means (FCM) algorithm and has better performance on FCM-based image segmentation.

Estimation of optimal cluster number for fuzzy clustering with combined fuzzy entropy index

- Computer Science2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
- 2016

The results show the CFE index has superior performance in the estimation of the best partition of clusters than the indices PC, PE, MPC, XB, FS, Kwon, FHV and PBMF, especially for high dimensional datasets.

A hybrid particle swarm optimization approach for clustering and classification of datasets

- Computer ScienceKnowl. Based Syst.
- 2011

A Clustering Validity Index Based on Pairing Frequency

- Computer ScienceIEEE Access
- 2017

A new clustering validity index for both fuzzy and hard clustering algorithms that uses pairwise pattern information from a certain number of interrelated clustering results, which focus more on logical reasoning than geometrical features is proposed.

A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering

- Computer ScienceIEEE Transactions on Fuzzy Systems
- 2015

A new clustering validity index, which is termed the Wu-and-Li index (WLI), is proposed, which partially allows, to some extent, the existence of closely allocated centroids in the clustering results by considering not only the minimum but the median distances between a pair of Centroids as well; therefore possessing better stability.

A Selection Model for Optimal Fuzzy Clustering Algorithm and Number of Clusters Based on Competitive Comprehensive Fuzzy Evaluation

- Computer ScienceIEEE Transactions on Fuzzy Systems
- 2009

A center initialization approach based on a minimum spanning tree to keep FCM from local minima and a selection model that combines multiple pairs of a fuzzy clustering algorithm and cluster validity index to identify the number of clusters and simultaneously selects the optimal fuzzy clusters for a dataset is proposed.

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