110 search results - page 9 / 22 » Finding Generalized Projected Clusters In High Dimensional S... |
SDM
2009
SIAM
14 years 7 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
ICPR
2008
IEEE
14 years 11 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...
JMLR
2010
13 years 5 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
MICCAI
2005
Springer
14 years 11 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
ICDM
2008
IEEE
14 years 4 months ago
2008
IEEE
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...