A new binary adaptive elitist differential evolution based automatic \(k\)-medoids clustering for probability density functions

DOI10.1155/2019/6380568zbMath1435.62241OpenAlexW2936813412MaRDI QIDQ2298657

Dinh Phamtoan, A. T. Pham-Chau, D. Ho-Kieu, Tai Vo-Van, Thao Nguyen Trang

Publication date: 20 February 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/6380568

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

An efficient robust automatic clustering algorithm for interval data

Uses Software

• Silhouettes
• SIFT
• clusfind

Cites Work

• Unnamed Item
• Discrete data clustering using finite mixture models
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Modified genetic algorithm-based clustering for probability density functions
• Clustering probability distributions
• L¹-distance and classification problem by Bayesian method
• Fuzzy clustering of probability density functions
• An automatic clustering algorithm for probability density functions
• Multivariate Density Estimation
• Statistical Discrimination Analysis Using the Maximum Function

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