A NONLINEAR MAPPING FOR DATA STRUCTURE ANALYSIS

被引：2259

作者：

SAMMON, JW

机构：

[1] Computer-Symbolic Inc., Rome, N. Y.

来源：

IEEE TRANSACTIONS ON COMPUTERS | 1969年 / C 18卷 / 05期

关键词：

Clustering; dimensionality reduction; mappings; multidimensional scaling; multivariate data of analysis; nonparametric; pattern recognition; statistics;

D O I：

10.1109/T-C.1969.222678

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

An algorithm for the analysis of multivariate data is presented along with some experimental results. The algorithm is based upon a point mapping of N L-dimensional vectors from the L-space to a lower-dimensional space such that the inherent data “structure” is approximately preserved. Copyright © 1969 by The Institute of Electrical and Electronics Engineers, Inc.

引用

页码：401 / &

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