Clustering

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

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%

Components


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

Categories