Ensemble clustering using factor graph

DOI10.1016/j.patcog.2015.08.015zbMath1395.62157OpenAlexW1648123822MaRDI QIDQ1669711

Chang-Dong Wang, Dong Huang, Jian Huang Lai

Publication date: 4 September 2018

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.08.015

zbMATH Keywords

factor graphbelief propagationensemble clusteringautomatic cluster number estimatesuper-object

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (5)

Ensemble learning using three-way density-sensitive spectral clustering ⋮ Combining attribute content and label information for categorical data ensemble clustering ⋮ Cluster ensembles: a survey of approaches with recent extensions and applications ⋮ Clustering ensemble based on sample's stability ⋮ A sequential ensemble clusterings generation algorithm for mixed data

Uses Software

• UCI-ml
• apcluster
• APCluster

Cites Work

• Clustering by Passing Messages Between Data Points
• Combining multiple clusterings using similarity graph
• Hybrid cluster ensemble framework based on the random combination of data transformation operators
• Ensemble clustering by means of clustering embedding in vector spaces
• Weighted partition consensus via kernels
• Clustering aggregation by probability accumulation
• On the point for which the sum of the distances to \(n\) given points is minimum
• Factor graphs and the sum-product algorithm
• 10.1162/153244303321897735
• Unnamed Item
• Unnamed Item
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