Assessing clustering methods using Shannon's entropy

DOI10.1016/J.INS.2024.121510MaRDI QIDQ6659000

Anis S. Hoayek, Didier Rullière

Publication date: 8 January 2025

Published in: Information Sciences (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

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• Estimating the number of clusters in a data set via the gap statistic
• Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Entropy-based fuzzy clustering and fuzzy modeling
• Finding Groups in Data
• Finding the Number of Clusters in a Dataset
• A review of \(N\)-mixture models

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