Journal ArticleDOI
Validating fuzzy partitions obtained through c-shells clustering
TLDR
Validation of fuzzy partitions induced through c-shells clustering is considered, and a new set of indices are shown to be capable of validating the structure characterized by the shell clustering algorithms.About:
This article is published in Pattern Recognition Letters.The article was published on 1996-05-15. It has received 264 citations till now. The article focuses on the topics: Fuzzy clustering & Cluster analysis.read more
Citations
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Journal ArticleDOI
On Clustering Validation Techniques
TL;DR: The fundamental concepts of clustering are introduced while it surveys the widely known clustering algorithms in a comparative way and the issues that are under-addressed by the recent algorithms are illustrated.
Journal ArticleDOI
Cluster validity methods: part I
TL;DR: This paper presents a review of the clustering validity and methods based on external and internal criteria and discusses the cluster validity approaches based on internal and external criteria.
Journal ArticleDOI
Clustering validity checking methods: part II
TL;DR: The paper illustrates the issues that are under-addressed by the recent approaches to clustering validity checking approaches and proposes the research directions in the field.
Journal ArticleDOI
On fuzzy cluster validity indices
Weina Wang,Yunjie Zhang +1 more
TL;DR: The fundamental concepts of cluster validity are introduced, and a review of fuzzy cluster validity indices available in the literature are presented, and extensive comparisons of the mentioned indices are conducted in conjunction with the Fuzzy C-Means clustering algorithm.
Journal ArticleDOI
A cluster validity index for fuzzy clustering
Kuo-Lung Wu,Miin-Shen Yang +1 more
TL;DR: The results of comparative study show that the proposed PCAES index has high ability in producing a good cluster number estimate and in addition, it provides a new point of view for cluster validity in a noisy environment.
References
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Journal ArticleDOI
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Book
Pattern Recognition with Fuzzy Objective Function Algorithms
TL;DR: Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.
Journal ArticleDOI
Pattern Classification and Scene Analysis.
Book
Pattern classification and scene analysis
Richard O. Duda,Peter E. Hart +1 more
TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.