DocumentCode
1102371
Title
A Nonlinear Mapping for Data Structure Analysis
Author
Sammon, John W., Jr.
Issue
5
fYear
1969
fDate
5/1/1969 12:00:00 AM
Firstpage
401
Lastpage
409
Abstract
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.
Keywords
Clustering, dimensionality reduction, mappings, multidimensional scaling, multivariate data analysis, nonparametric, pattern recognition, statistics.; Algorithm design and analysis; Computer errors; Data analysis; Data structures; Euclidean distance; Helium; Multidimensional systems; Pattern recognition; Testing; Vectors; Clustering, dimensionality reduction, mappings, multidimensional scaling, multivariate data analysis, nonparametric, pattern recognition, statistics.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1969.222678
Filename
1671271
Link To Document