Dahyun Jeong

Beyond Local Centers toward Prototypes: Joint Learning of Self-Representation and Adaptive Clustering

In this paper, we propose a prototype-learning framework that addresses a common limitation of proximity-based methods: the need to specify proximity weights in advance. Rather than relying on a fixed proximity matrix computed from raw observations, the proposed method jointly learns the prototype representation and th...