Ensemble Clustering

Introduced by Li et al. in Ensemble Learning for Spectral Clustering

Ensemble clustering, also called consensus clustering, has been attracting much attention in recent years, aiming to combine multiple base clustering algorithms into a better and more consensus clustering. Due to its good performance, ensemble clustering plays a vital role in many research areas, such as community detection and bioinformatics.

Source: Ensemble Learning for Spectral Clustering

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Papers

Paper	Code	Results	Date	Stars

Tasks

Task	Papers	Share
Clustering	18	51.43%
Diversity	2	5.71%
Evolutionary Algorithms	1	2.86%
Graph Attention	1	2.86%
Electroencephalogram (EEG)	1	2.86%
Deep Clustering	1	2.86%
Image Clustering	1	2.86%
regression	1	2.86%
Ensemble Learning	1	2.86%

Usage Over Time

This feature is experimental; we are continuously improving our matching algorithm.

Components

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🤖 No Components Found	You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories

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Clustering