کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
530706 | 869784 | 2012 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Feature interaction in subspace clustering using the Choquet integral Feature interaction in subspace clustering using the Choquet integral](/preview/png/530706.png)
Subspace clustering has recently emerged as a popular approach to removing irrelevant and redundant features during the clustering process. However, most subspace clustering methods do not consider the interaction between the features. This unawareness limits the analysis performance in many pattern recognition problems. In this paper, we propose a novel subspace clustering technique by introducing the feature interaction using the concepts of fuzzy measures and the Choquet integral. This new framework of subspace clustering can provide optimal subsets of interacted features chosen for each cluster, and hence can improve clustering-based pattern recognition tasks. Various experimental results illustrate the effective performance of the proposed method.
► First work to consider the interaction between features in subspace clustering.
► Novel fuzzy feature interactions in subspace clustering by using the Choquet integral.
► Proposed method has superior and consistent performance.
Journal: Pattern Recognition - Volume 45, Issue 7, July 2012, Pages 2645–2660