DocumentCode :
2416990
Title :
A minimum code length technique for clustering of syntactic patterns
Author :
Fred, Ana L N ; Leitão, Jose M N
Author_Institution :
Inst. Superior Tecnico, Lisbon, Portugal
Volume :
2
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
680
Abstract :
This paper addresses the problem of clustering of syntactic patterns using string descriptions. A new similarity measure between strings is proposed based on the search of common subpatterns by means of Solomonoff´s coding. This coding scheme is further explored in an agglomerative clustering algorithm, which uses a minimum description length (MDL) type criterion
Keywords :
codes; encoding; pattern recognition; Solomonoff coding; agglomerative clustering algorithm; minimum code length technique; similarity measure; string descriptions; syntactic patterns; Clustering algorithms; Costs; Error correction; Image analysis; Image recognition; Pattern analysis; Pattern matching; Pattern recognition; Speech analysis; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546909
Filename :
546909
Link To Document :
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