EMNLP
2010
14 years 7 months ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
75
Voted
ECML
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
DIS
2006
Springer
15 years 1 months ago
2006
Springer
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...