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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Book ChapterDOI
A Heuristic Automatic Clustering Method Based on Hierarchical Clustering
TL;DR: Depending on the particularities of the data set used, the proposed clustering method has produced results which are roughly equivalent or better than those of the compared methods.
Proceedings ArticleDOI
Combining Fuzzy c-Means Classifiers Using Fuzzy Majority Vote
Haidong Yang,Chunsheng Li +1 more
TL;DR: This paper proposes a combination method for fuzzy classifiers based on fuzzy majority voting rule, denoted by CFCM-FMV, which is tested on several real datasets and shows that the combination of fuzzyclassifiers outperforms all the participant fuzzy classifier in some cases in terms of the majority of cluster validity indexes.
Dissertation
Greedy Representative Selection for Unsupervised Data Analysis
TL;DR: This dissertation addresses a crucial problem in unsupervised data analysis, which is the selection of representative instances and/or features from the data, formally known as the Column Subset Selection (CSS) problem.
Proceedings ArticleDOI
A density-based clustering of the Self-Organizing Map using graph cut
TL;DR: An algorithm to automatically cluster the Self-Organizing Map (SOM) is presented, whose connection strengths are measured in terms of pattern density and a figure of merit that evaluates both the connectedness and separation selects the optimal partition.
Book ChapterDOI
Different Length Genetic Algorithm-Based Clustering of Indian Stocks for Portfolio Optimization
TL;DR: This chapter proposes a model for portfolio construction using different length genetic algorithm (GA)- based clustering of Indian stocks and indicates that the proposed GA-based clustering algorithm outperforms all the other algorithms.
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.