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
Semi-supervised OTSU based hyperbolic tangent Gaussian kernel fuzzy C-mean clustering for dental radiographs segmentation
TL;DR: Simulation outcome shows the quality of clustering in the framework have higher accuracy and more reliable than other clustering methods and current method is less sensitive to noise with robustness.
Proceedings ArticleDOI
Gene transposon based clonal selection algorithm for clustering
TL;DR: A novel operator called antibody transposon is introduced to the framework of clonal selection algorithm which can realize to find the optimal number of cluster automatically and indicate the superiority of the GTCSA over VGA on stability and convergence rate, when clustering multi-class data sets.
Journal ArticleDOI
A Clustering Validity Index Based on Pairing Frequency
TL;DR: 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.
Journal ArticleDOI
Scientific document summarization in multi-objective clustering framework
TL;DR: A novel method of scientific document summarization using a multi-objective differential evolution technique, which outperforms others in terms of ROUGE-2, RouGE-3, and ROUge-SU4 scores.
Journal ArticleDOI
Ensembling of Gene Clusters Utilizing Deep Learning and Protein-Protein Interaction Information
TL;DR: A comparative analysis of the proposed cluster ensemble based technique over different clustering algorithms in terms of biological homogeneity index (BHI) and biological stability index (BSI) is presented.
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.