Centrality Measures for Text Clustering

DOI10.1080/03610926.2011.633729zbMath1319.62129OpenAlexW2055699623MaRDI QIDQ3167856

Domenica Fioredistella Iezzi

Publication date: 29 October 2012

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.633729

zbMATH Keywords

centrality measurestext clusteringterm weighting models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for text processing; mathematical typography (68U15)

Cites Work

• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Principal component analysis.
• Finding Groups in Data
• Well-Separated Clusters and Optimal Fuzzy Partitions
• Factorial \(k\)-means analysis for two-way data.
• Unnamed Item

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