1105 search results - page 74 / 221 » Approximate Spectral Clustering. |
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Image-analysis methods play an important role in helping detect brain changes in and diagnosis of Alzheimer's Disease (AD). In this paper, we propose an automatic unsupervised...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
BMCBI
2008
13 years 10 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
WIRN
2005
Springer
14 years 3 months ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...