会議名: 第7回バイオメディカル・ファジイ・システム学会
回次: 7
開催地: 大阪府立大学
開催日: 1994/12/05 - 1994/12/06
p. 102-105
The projection pursuit (PP) for regression was originally proposed by Friedman and Stuetzle. The important feature of PP is that it is one of the multivariate methods able to bypass the "curse of dimensionality". The aim of PP is to find an interesting or characteristic structure by working in low-dimensional linear projections. In this paper, we propose a method based on the membership function and the eigenvector of the covariance matrix to avoid the local minimum of the projection indices.