Semi-supervised clustering with multi-viewpoint based similarity measure

• المؤلفون الرئيسيون: Yan, Yang, Chen, Lihui, Nguyen, Duc Thang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/97853; http://hdl.handle.net/10220/12397

The traditional (dis)similarity measure between a pair of data objects in a clustering method uses only a single viewpoint, which is usually the origin as the only reference point. Recently a novel multi-viewpoint based similarity (MVS) measure [1] has been proposed, which utilizes many different vi...