کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
526895 | 869254 | 2009 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Shape and texture clustering: Best estimate for the clusters number Shape and texture clustering: Best estimate for the clusters number](/preview/png/526895.png)
The most difficult problem in automatic clustering is the determination of the total number of final clusters NclusterNcluster. In the present paper, a new method for finding NclusterNcluster is proposed and is compared with previously developed methods. The proposed method is based on the minimization of the functional θ(Ncluster)=αNcluster+β∑iNcluster1ni+1Ncluster∑i=1Nclusterdist(Ci) where ni is the number of shapes and textures in cluster CiCi, dist(Ci)dist(Ci) is the intra-cluster distance and αα and ββ are two parameters controlling the grain of the clustering. The proposed method provides almost perfect clustering for the Kimia-25, Kimia-99, MPEG-7 shape databases, subset of Brodatz, full Brodatz and UIUCTex texture databases and provides better results than all previously proposed methods for automatic clustering.
Journal: Image and Vision Computing - Volume 27, Issue 10, 2 September 2009, Pages 1603–1614