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 :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=1102371
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