DocumentCode
934553
Title
Quantization and the method of 
-means
Author
Pollard, David
Volume
28
Issue
2
fYear
1982
fDate
3/1/1982 12:00:00 AM
Firstpage
199
Lastpage
205
Abstract
Asymptotic results from the statistical theory of -means clustering are applied to problems of vector quantization. The behavior of quantizers constructed from long training sequences of data is analyzed by relating it to the consistency problem for -means.
-means clustering are applied to problems of vector quantization. The behavior of quantizers constructed from long training sequences of data is analyzed by relating it to the consistency problem for -means.Keywords
Quantization (signal); Signal quantization; Data analysis; Distortion measurement; Helium; Image sequence analysis; Labeling; Multidimensional systems; Statistics; Vector quantization;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1982.1056481
Filename
1056481
Link To Document