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IJIT
2004
13 years 10 months ago
2004
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
ESWA
2010
13 years 6 months ago
2010
1 In this study, a novel robust clustering algorithm, robust interval competitive agglomeration (RICA) clustering algorithm, is proposed to overcome the problems of the outliers, t...