On the k-Medoids Model for Semi-supervised Clustering. - Rodrigo Randel; Daniel Aloise; Nenad Mladenovic; Pierre Hansen (ICVNS, 2018)

Exploring dual information in distance metric learning for clustering. - Rodrigo Randel; Daniel Aloise; Alain Hertz (CoRR, 2021)

A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering. - Rodrigo Randel; Daniel Aloise; Simon J. Blanchard; Alain Hertz (Data Min. Knowl. Discov., 2021)

A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation. - Rodrigo Randel; Daniel Aloise; Alain Hertz (SDM, 2023)