190 search results - page 6 / 38 » Constraint-Based Subspace Clustering. |
SIGMOD
1998
ACM
13 years 12 months ago
1998
ACM
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
ICDE
2007
IEEE
14 years 9 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
Representing images with layers has many important applications, such as video compression, motion analysis, and 3D scene analysis. This paper presents an approach to reliably ext...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
CIDM
2007
IEEE
14 years 2 months ago
2007
IEEE
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...