Stratified Feature Sampling for Semi-Supervised Ensemble Clustering

Stratified Feature Sampling for Semi-Supervised Ensemble Clustering

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 challenge to ensemble clustering met...

Full description

Bibliographic Details
Main Authors: Jialin Tian, Yazhou Ren, Xiang Cheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Constraint propagation
ensemble clustering
high dimensional data
semi-supervised learning
stratified feature sampling
Online Access:https://ieeexplore.ieee.org/document/8825848/

Internet

https://ieeexplore.ieee.org/document/8825848/

Similar Items