Rough set-based clustering with refinement using Shannon's entropy theory

DOI10.1016/j.camwa.2006.03.033zbMath1134.94337OpenAlexW2063409192MaRDI QIDQ2469904

Chun-Bao Chen, LiYa Wang

Publication date: 11 February 2008

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2006.03.033

zbMATH Keywords

similarityclustering algorithmrefinementrough setShannon's entropy

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Measures of information, entropy (94A17)

Related Items (3)

PRE and Variable Precision Models in Rough Set Data Analysis ⋮ An Efficiency Optimization Scheme for the On-the-Fly Statistical Randomness Test ⋮ An initialization method for the \(K\)-means algorithm using neighborhood model

Cites Work

• Rough sets
• ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Rough set-based clustering with refinement using Shannon's entropy theory