Nonnegative Matrix Factorization Based Consensus for Clusterings With a Variable Number of Clusters
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DOI: 10.1109/access.2018.2874038
Abstract: Consensus clustering is an aggregation of base clusterings into an ensemble clustering which is better than the individual base clusterings. It is beneficial to determine the clusters from heterogeneous data. This paper presents a new… read more here.
Keywords: number clusters; base clusterings; consensus; base ... See more keywords
Improved Selective Deep-Learning-Based Clustering Ensemble
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DOI: 10.3390/app14020719
Abstract: Clustering ensemble integrates multiple base clustering results to improve the stability and robustness of the single clustering method. It consists of two principal steps: a generation step, which is about the creation of base clusterings,… read more here.
Keywords: base clusterings; deep clustering; clustering ensemble; clustering algorithms ... See more keywords