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.About:
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.read more
Citations
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Journal ArticleDOI
A Novel Approach for the Customer Segmentation Using Clustering Through Self-Organizing Map
TL;DR: Clustering is the ideal for customer Segmentation and several real-lifedatasets need to be considered for performance-based approaches.
Journal ArticleDOI
A Survey On Unsupervised Evaluation Criteria For Image Clustering Validation
TL;DR: In this article, a general review on evaluation criteria is given and then the focus is spotted on unsupervised criteria as they are much more useful, thanks to their objective functionality.
Journal Article
Applying a decision support system for accident analysis by using data mining approach: A case study on one of the Iranian manufactures
TL;DR: Large data sets of the accidents of a manufacturing and industrial unit have been studied by applying clustering methods and association rules as data mining methods, finding optimum number of clusters has been determined.
Journal ArticleDOI
A novel validity index in fuzzy clustering algorithm
Zheng Feng,Jian-Cong Fan +1 more
TL;DR: A new cluster validity index is proposed to solve the problem of fuzzy clustering algorithm not being able to predict the number of clusters, and this algorithm produces membership matrix and cluster centroid by implementing the FCM algorithm iteratively.
Journal ArticleDOI
Object-based cluster validation with densities
TL;DR: In this article, an object-based clustering validity index with densities (OCVD) is proposed to measure the contribution of individual data objects to both separation and compactness of clusters.
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
R. A. Johnson,Dean W. Wichern +1 more
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.