- Article
Double-Constrained Consensus Clustering with Application to Online Anti-Counterfeiting
- Claudio Carpineto and
- Giovanni Romano
Semi-supervised consensus clustering is a promising strategy to compensate for the subjectivity of clustering and its sensitivity to design factors, with various techniques being recently proposed to integrate domain knowledge and multiple clustering...