Stratified Feature Sampling for Semi-Supervised Ensemble Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939581
Abstract: Ensemble Clustering (EC), which seeks to generate a consensus clustering by integrating multiple base clusterings, has attracted increasing attentions. However, traditional EC methods typically have three main limitations: (1) High dimensional data present a huge… read more here.
Keywords: stratified feature; semi supervised; supervised ensemble; ensemble clustering ... See more keywords