DocumentCode :
1886881
Title :
A Method of Clustering Combination Applied to Satellite Image Analysis
Author :
Kyrgyzov, Ivan O. ; Maître, Henri ; Campedel, Mârine
Author_Institution :
CNRS, Paris
fYear :
2007
fDate :
10-14 Sept. 2007
Firstpage :
81
Lastpage :
86
Abstract :
An algorithm for combining results of different clusterings is presented in this paper, the objective of which is to find groups of patterns which are common to all clusterings. The idea of the proposed combination is to group those samples which are in the same cluster in most cases. We formulate the combination as the resolution of a linear set of equations with binary constraints. The advantage of such a formulation is to provide an objective function for the combination. To optimize the objective function we propose an original unsupervised algorithm. Furthermore, we propose an extension adapted in case of a huge volume of data. The combination of clusterings is performed on the results of different clustering algorithms applied to SPOT5 satellite images and shows the effectiveness of the proposed method.
Keywords :
geophysical signal processing; image resolution; optimisation; pattern clustering; unsupervised learning; image resolution; objective function optimization; original unsupervised algorithm; pattern clustering method; satellite image analysis; Clustering algorithms; Data mining; Earth; Equations; Frequency; Image analysis; Image sensors; Remote sensing; Satellites; Space exploration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2877-9
Type :
conf
DOI :
10.1109/ICIAP.2007.4362761
Filename :
4362761
Link To Document :
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