766 search results - page 9 / 154 » Clustering high dimensional data using subspace and projecte... |
EGITALY
2006
13 years 10 months ago
2006
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
PAKDD
2007
ACM
14 years 2 months ago
2007
ACM
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
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 ...
ACMSE
2010
ACM
13 years 6 months ago
2010
ACM
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...