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Journal ArticleDOI

Validity index for crisp and fuzzy clusters

TLDR
A cluster validity index and its fuzzification is described, which can provide a measure of goodness of clustering on different partitions of a data set, and results demonstrating the superiority of the PBM-index in appropriately determining the number of clusters are provided.
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This article is published in Pattern Recognition.The article was published on 2004-03-01. It has received 710 citations till now. The article focuses on the topics: Fuzzy clustering & Correlation clustering.

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Citations
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Proceedings ArticleDOI

A novel clustering algorithm combining niche genetic algorithm with canopy and K-means

TL;DR: A novel niching genetic algorithm (NNGA) with K-means (NClust) that is capable of automatically finding the better number of clusters and identifying the right genes/chromosomes through a novel initial population approach based on an improved canopy and K-Means++ is proposed.
Journal ArticleDOI

Trajectory planning of redundant manipulator using fuzzy clustering method

TL;DR: The solution of inverse kinematics and trajectory planning with performance criteria for a redundant manipulator and a new fuzzy clustering model based on a new generalized validity index based on weighted within-scatter metrics and between-cluster scatter metrics for the manipulator is proposed.
Journal ArticleDOI

Image Segmentation of Thermal Waving Inspection based on Particle Swarm Optimization Fuzzy Clustering Algorithm

TL;DR: The results of the experiments show that the PSO-FCM algorithm can effectively avoid the disadvantage of FCM, boost the speed and get a better image segmentation result.
Journal ArticleDOI

Uncertain clustering algorithms based on rough and fuzzy sets for real-time image segmentation

TL;DR: An improved rough-fuzzy c-means clustering algorithm in which a parameter selection strategy is designed to adaptively adjust the weighted parameter depending on the distributive character of each cluster instead of manually choosing a constant parameter.
Proceedings ArticleDOI

Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering

TL;DR: A novel multiobjective variable string length real coded genetic fuzzy clustering scheme for clustering microarray gene expression data has been proposed and Superiority of the proposed method over some other well known clustering algorithms has been demonstrated quantitatively.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book

Applied Multivariate Statistical Analysis

TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Journal ArticleDOI

Applied Multivariate Statistical Analysis.

TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.