A novel probabilistic clustering model for heterogeneous networks

DOI10.1007/s10994-016-5544-1zbMath1454.62195OpenAlexW2291317804MaRDI QIDQ1689548

Zhi-Hong Deng, Xiaoran Xu

Publication date: 12 January 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-016-5544-1

zbMATH Keywords

algorithmclusteringheterogeneous networksprobabilistic graphical model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Probabilistic graphical models (62H22)

Uses Software

• apcluster
• APCluster
• AS 136

Cites Work

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• Clustering by Passing Messages Between Data Points
• Algorithm AS 136: A K-Means Clustering Algorithm
• Managing and mining graph data
• Introduction to Information Retrieval
• An Efficient Heuristic Procedure for Partitioning Graphs
• Factor graphs and the sum-product algorithm
• Community structure in social and biological networks
• 10.1162/jmlr.2003.3.4-5.993
• Historical Development of the Newton–Raphson Method
• Exploring and inferring user–user pseudo‐friendship for sentiment analysis with heterogeneous networks

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