434 search results - page 49 / 87 » Dimensionality Reduction of Clustered Data Sets |
SODA
2010
ACM
14 years 6 months ago
2010
ACM
We consider the problem of approximating a set P of n points in Rd by a j-dimensional subspace under the p measure, in which we wish to minimize the sum of p distances from each p...
JMLR
2010
13 years 3 months ago
2010
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
MICAI
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...