847 search results - page 3 / 170 » Approximation algorithms for projective clustering |
KDD
2003
ACM
14 years 6 months ago
2003
ACM
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
PAKDD
2007
ACM
14 years 12 days 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...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
DEXAW
2007
IEEE
14 years 18 days ago
2007
IEEE
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
NPL
2006
13 years 6 months ago
2006
Abstract. In this paper we introduce a new error measure, integrated reconstruction error (IRE) and show that the minimization of IRE leads to principal eigenvectors (without rotat...