Rough Clustering with Partial Supervision

摘要: This study focuses on bringing two rough-set-based clustering algorithms into the framework of partially supervised clustering. A mechanism partial supervision relying either fuzzy membership grades or rough memberships and non-memberships patterns to clusters is envisioned. Allowing such knowledge-based hints play an active role in discovery overall structure dataset has proved be highly beneficial, this being corroborated by empirical results. Other existing techniques can successfully incorporate type auxiliary information with little computational effort.