Modified genetic algorithm-based clustering for probability density functions

DOI10.1080/00949655.2017.1300663OpenAlexW2597382243WikidataQ57559019 ScholiaQ57559019MaRDI QIDQ5106903

T. Vo-Duy, Thao Nguyen Trang, Vinh Ho-Huu, Trung Nguyen-Thoi, Tai Vo-Van

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1300663

zbMATH Keywords

optimizationclusteringdensity functiongenetic algorithmvalidity measure

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Related Items (6)

Automatic genetic algorithm in clustering for discrete elements ⋮ An automatic fuzzy clustering algorithm for discrete elements ⋮ The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition ⋮ Automatic clustering algorithm for interval data based on overlap distance ⋮ An automatic clustering for interval data using the genetic algorithm ⋮ A new binary adaptive elitist differential evolution based automatic \(k\)-medoids clustering for probability density functions

Uses Software

• Silhouettes

Cites Work

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• Sample-Based Classification Procedures Derived from Density Estimators
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• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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