Robust unsupervised cluster matching for network data

DOI10.1007/S10618-017-0509-YzbMath1411.68107OpenAlexW2611967165MaRDI QIDQ1741172

Tomoharu Iwata, Katsuhiko Ishiguro

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-017-0509-y

zbMATH Keywords

unsupervised learningstochastic block modelnetwork modelingobject matchingmultilingual corpus analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Bayesian object matching
• Ferguson distributions via Polya urn schemes
• Statistical mechanics of complex networks
• Mixed membership stochastic blockmodels
• Emergence of Scaling in Random Networks
• Estimation and Prediction for Stochastic Blockstructures
• Community structure in social and biological networks
• Stochastic Blockmodels for Directed Graphs
• Collective dynamics of ‘small-world’ networks

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