A mixture model approach to spectral clustering and application to textual data

DOI10.1007/s10260-022-00635-4OpenAlexW4224287896MaRDI QIDQ2111310

Cinzia Di Nuzzo, Salvatore Ingrassia

Publication date: 13 January 2023

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-022-00635-4

zbMATH Keywords

spectral clusteringGaussian mixture modelsdocument classification

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Clustering multivariate count data via Dirichlet-multinomial network fusion

Uses Software

• mclust

Cites Work

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• Deep mixtures of unigrams for uncovering topics in textual data
• Gaussian bandwidth selection for manifold learning and classification
• The geometry of kernelized spectral clustering
• A review of robust clustering methods
• A vector space model for automatic indexing
• Model-Based Clustering, Discriminant Analysis, and Density Estimation

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