Improving CLOPE's profit value and stability with an optimized agglomerative approach

DOI10.3390/A8030380zbMath1461.62103OpenAlexW1557725856MaRDI QIDQ1736669

Yefeng Li, Mei Wang, Jiajin Le

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a8030380

zbMATH Keywords

categorical datacluster graphCLOPEoptimized agglomerative approach

Mathematics Subject Classification ID

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

Related Items (1)

Understanding and enhancement of internal clustering validation indexes for categorical data

Uses Software

• ElemStatLearn
• COOLCAT

Cites Work

• Squeezer: An efficient algorithm for clustering categorical data.
• Cure: An efficient clustering algorithm for large databases

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