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 Multiobjective Simultaneous Learning Framework for Clustering and Classification
TL;DR: This paper presents a multiobjective simultaneous learning framework (MSCC), which utilizes multiple objective functions to formulate the clustering and classification problems, respectively, and employs the Bayesian theory to make these functions all only dependent on a set of the same parameters.
Journal ArticleDOI
A new validity index for crisp clusters
TL;DR: A new cluster validity index, called the STR index, is defined as the product of two components which determine changes of compactness and separability of clusters during a clustering process, and the maximum value identifies the best clustering scheme.
Journal ArticleDOI
Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm
TL;DR: This paper attempts to build some extractive single document text summarization systems using multi-objective optimization (MOO) frameworks and is able to automatically detect the number of sentence clusters present in a document and then representative sentences are selected from different clusters using some sentence scoring features to generate the summary.
Journal ArticleDOI
Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification
Xiangtao Li,Ka-Chun Wong +1 more
TL;DR: A novel multiobjective framework called multiobjectives clustering algorithm by fast search and find of density peaks is proposed to address limitations altogether and can achieve better or competitive solutions than the others.
Journal ArticleDOI
Comparison of clustering algorithms for analog modulation classification
TL;DR: A comparative study of implementation of clustering algorithms on classification of the analog modulated communication signals and the advantages and disadvantages of the methods are examined.
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.