512 search results - page 31 / 103 » k-Means Projective Clustering |
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
MICCAI
2008
Springer
14 years 9 months ago
2008
Springer
We present a slicing-based coherence measure for clusters of DTI integral curves. For a given cluster, we probe samples from the cluster by slicing it with a plane at regularly spa...
FASE
2005
Springer
14 years 1 months ago
2005
Springer
It is a key activity in CBD to identify high-quality components which have high cohesion and low coupling. However, component clustering is carried out in manual fashion by develop...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
WISE
2002
Springer
14 years 28 days ago
2002
Springer
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...