Properties of deletion methods in competitive learning
M. Macda, Hiromi Miyajima · 2002
In this paper, we describe properties of deletion methods in competitive learning. From the viewpoint of the deleting mechanisms of reference vectors, we introduce approaches termed the adaptivity and sensitivity deletions participating in the criteria of partition error and distortion error, respectively. Experimental results show the effectiveness of the present approaches in the average distortion.