PARAMETRIC AND NONPARAMETRIC LINEAR MAPPINGS OF MULTIDIMENSIONAL DATA

被引：13

作者：

ALADJEM, M ^{[1
]}

机构：

[1] BEN GURION UNIV NEGEV,DEPT MATH & COMP SCI,IL-84105 BEER SHEVA,ISRAEL

来源：

PATTERN RECOGNITION | 1991年 / 24卷 / 06期

关键词：

MAPPING; CLASSIFIER DESIGN; FEATURE EXTRACTION; EXPLORATORY DATA ANALYSIS;

D O I：

10.1016/0031-3203(91)90020-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new criterion for linear mapping of the samples from two classes is presented. Some parametric and nonparametric forms of the criterion are suggested. Based on them most of the known linear mapping projections can be created. New projections can be obtained as well. An experimental study with synthetic and real data is discussed. It confirms the effectiveness of the new mapping projections for the data with complicated classification structure.

引用

页码：543 / 553

页数：11

共 32 条

[1]

ALADJEM ME, 1975, 34 HIGH I MECH EL EN, P67

[2]

ALADJEM ME, 1985, MED DECIS MAKING, P211

[3] EVALUATION OF PROJECTION ALGORITHMS [J].