DocumentCode :
934553
Title :
Quantization and the method of 
-means
-meansAuthor :
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 :
