关键词: Fisher线性鉴别分析, 类间散布矩阵, 类内散布矩阵, 高维小样本问题

Abstract: Fisher linear discriminant analysis algorithm based on vector muster is presented in this paper.The original high-dimensional vectors are divided into a set of sub-vectors with low-dimensional.Fisher linear discriminant analysis is adopted based on vector muster.This algorithm can deal with all high-dimensional and small sample size problems.Otherwise，selecting appropriate dimension of sub-vector can extract the optimization feature value of vector.Fisher linear discriminant analysis algorithm based on vector muster is the extension of Fisher linear discriminant analysis and two-dimensional fisher linear discriminant analysis.

Key words: Fisher linear discriminant analysis, between-class scatter matrix, within-class scatter matrix, high-dimensional and small sample size problem