Clusters selection from hierarchies: a graph-based model

Active semi-supervised classification based on multiple clustering hierarchies

Study, evaluation and comparison of unsupervised outlier detection techniques

Enhancing recommender systems by enrichment with pre- processing approaches supported...

Semi-supervised learning approaches with applications in Medicinal Chemistry

Algorithms and validation techniques in multi-represented data clustering, possibilistic...

Evolutionary approaches to relational data clustering

On the evaluation of clustering results: measures, ensembles, and gene expression...

A study of correlation coefficients as proximity measures for gene expression da...

Evaluation and model selection for unsupervised outlier detection and one-class ...