766 search results - page 10 / 154 » Clustering high dimensional data using subspace and projecte... |
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
DAGSTUHL
2007
13 years 10 months ago
2007
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
APWEB
2006
Springer
14 years 10 days ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
BIBE
2004
IEEE
14 years 10 days ago
2004
IEEE
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...