Mechanisms of Partial Supervision in Rough Clustering Approaches

We bring two rough-set-based clustering algorithms into the framework of partially supervised clustering. A mechanism of partial supervision relying on either qualitative or quantitative information about membershipsofpatternstoclustersisenvisioned.Allowingsuch knowledgebased hints to play an active role in the clustering process has proved to be highly beneficial, according to our empirical results. Other existing rough clustering techniques can successfully incorporate this type of auxiliary information with little computational effort.

• Type: Conference
• Year: 2009
• Where: RSKT
• Authors: Rafael Falcón, Gwanggil Jeon, Kangjun Lee, Rafael Bello, Jechang Jeong
• Keywords: Clustering Process, Information Retrieval, Rough Clustering Techniques, Rough-set-based Clustering Algorithms, RSKT 2009