Optimal projections of high dimensional data

被引：3

作者：

Corchado, E ^{[1
]}

Fyfe, C ^{[1
]}

机构：

[1] Univ Burgos, Dept Ingn Civil, Burgos, Spain

来源：

2002 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/ICDM.2002.1184006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we compare two artificial neural network algorithms for performing Exploratory Projection Pursuit, a statistical technique for investigating data by projecting it onto lower dimensional manifolds. The neural networks are extensions of a network which performs Principal Component Analysis. We illustrate the technique on artificial data before applying it to real data.

引用

页码：589 / 596

页数：8

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