A method of clustering combination applied to satellite image analysis

被引：4
|
作者：
Kyrgyzov, Ivan O. [1 ]
Maitre, Henri [1 ]
Campedel, Marine [1 ]
机构：
[1] CNRS, LTCI, UMR 5141, Comp Ctr Informat Extract & Image Understanding E, 46 Rue Barrault, F-75013 Paris, France
来源：
14TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ICIAP.2007.4362761
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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
引用
收藏
页码：81 / +
页数：2
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