related to References · 28Consensus clustering → An, Arindam Banerjee, Aristides Gionis, Bayesian Cluster Ensembles, Caruana, Clustering Aggregation, Consensus, Consensus Clusterings, Data Engineering, Data Mining, EM-like, Hanhuai Shan, Heikki Mannila, Hongjun Wang, ICDE, ICDM, IEEE, International Conference, ISBN, Nam
related to Soft clustering ensembles · 24Consensus clustering → Bayesian, BCC, Clusters, ClustersGroup, Construct Soft Meta-Graph, CSPA, Each, ECF-Means, Ensemble Clustering Fuzzification Means, Ghosh, Gibbs, In, KL, Kullback, Leibler, MCLA, Meta-ClustersCollapse Meta-Clusters, METIS, ObjectssHBGF, Punera
related to Efficient consensus functions · 14Consensus clustering → Cluster-based, CSPA, First, HGPA, Hyper-graph, In CSPA, MCLA, Meta-clustering, METIS, SC3, Spectral, The, The HGPA, They
related to Related work · 14Consensus clustering → Brodley, Clustering, Dan Simovici, Dana Cristofor, EM, Fern, Fred, Ghosh, In, Jain, Strehl, The, They, Topchy
related to Justification for using consensus clustering · 13Consensus clustering → An, Bayesian, Clustering, Consensus, However, It, Iterative, K-means, Lacking, SOM, The, There, This
related to Over-interpretation potential of the Monti consensus clustering algorithm · 12Consensus clustering → CDF, GAP-statistic, However, Identifying, If, In, It, Monti, One, PAC, SigClust, The
related to The Monti consensus clustering algorithm · 4Consensus clustering → Given, More, The, The Monti
is a · 1Consensus clustering → method of aggregating
