DocumentCode
1458916
Title
Mode detection by relaxation
Author
Touzani, A. ; Postaire, J.-G.
Author_Institution
Centre d´´Autom., Univ. des Sci. et Tech. de Lille Flandres-Artois, Villeneuve, d´´Ascq, France
Volume
10
Issue
6
fYear
1988
fDate
11/1/1988 12:00:00 AM
Firstpage
970
Lastpage
978
Abstract
A relaxation process is described and applied to the detection of the modes of the underlying probability density function for clustering multidimensional data. When the process is iterated, the label probabilities become very high in the modal region and very low in the valleys, so that mode detection becomes trivial
Keywords
computerised pattern recognition; iterative methods; probability; relaxation theory; computerized pattern recognition; label probabilities; mode detection; multidimensional data clustering; probability density function; relaxation process; Databases; Density functional theory; Electronic switching systems; Entropy; Frequency; Humans; Multidimensional systems; Natural languages; Neodymium; Statistics;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.9120
Filename
9120
Link To Document