Clustering Ensemble

4 papers with code • 2 benchmarks • 2 datasets

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Most implemented papers

The Impact of Random Models on Clustering Similarity

ajgates42/clusim 23 Jan 2017

It is often argued that, in order to establish a baseline, clustering similarity should be assessed in the context of a random ensemble of clusterings.

An Internal Validity Index Based on Density-Involved Distance

hulianyu/CVDD 22 Mar 2019

One reason is that the measure of cluster separation does not consider the impact of outliers and neighborhood clusters.

Ensemble clustering based on evidence extracted from the co-association matrix

zhongcaiming/clustering-ensemble 1 Aug 2019

The evidence accumulation model is an approach for collecting the information of base partitions in a clustering ensemble method, and can be viewed as a kernel transformation from the original data space to a co-association matrix.

Clustering Ensemble Meets Low-rank Tensor Approximation

jyh-learning/TensorClusteringEnsemble 16 Dec 2020

The existing clustering ensemble methods generally construct a co-association matrix, which indicates the pairwise similarity between samples, as the weighted linear combination of the connective matrices from different base clusterings, and the resulting co-association matrix is then adopted as the input of an off-the-shelf clustering algorithm, e. g., spectral clustering.