DocumentCode
1408281
Title
A Heuristic Relaxation Method for Nonlinear Mapping in Cluster Analysis
Author
Chang, C. L. ; Lee, R.
Author_Institution
Heuristics Laboratory, Division of Computer Research and Technology, National Institutes of Health, Bethesda, Md. 20014.
Issue
2
fYear
1973
fDate
3/1/1973 12:00:00 AM
Firstpage
197
Lastpage
200
Abstract
A relaxation method mapping high-dimensional sample points to low-dimensional sample points is discussed. This method tries to preserve the local interdistance of sample points. Some special heuristics have been introduced to handle the difficulty arising from a large amount of data. Experimental results with handwritten character data and Iris data show that the method runs fast, converges rapidly, and requires a small amount of memory space.
Keywords
Arm; Control systems; Distributed computing; Eyes; Humans; Optimization methods; Relaxation methods; Tellurium;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/TSMC.1973.5408505
Filename
5408505
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