DocumentCode
1103564
Title
A Criterion and an Algorithm for Grouping Data
Author
Fukunaga, Keinosuke ; Koontz, Warren L.G.
Author_Institution
IEEE
Issue
10
fYear
1970
Firstpage
917
Lastpage
923
Abstract
Many algorithms for grouping data without supervision depend on some criterion. We state two basic requirements such criteria should meet and we discuss several criteria in terms of these requirements. An attempt to satisfy both requirements simultaneously with a simple criterion leads us to introduce a linear transformation of the data. Although our principal result is for a two category problem, we present discussion and an example for the many category problem as well.
Keywords
Clustering, data analysis, pattern recognition, unsupervised learning.; Convergence; Data analysis; Eigenvalues and eigenfunctions; Gaussian distribution; Merging; Partitioning algorithms; Pattern recognition; Scattering; Unsupervised learning; Clustering, data analysis, pattern recognition, unsupervised learning.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1970.222799
Filename
1671392
Link To Document