211 search results - page 3 / 43 » Distributed Clustering Based on Sampling Local Density Estim... |
PKDD
2004
Springer
13 years 10 months ago
2004
Springer
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
GFKL
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
ICS
2007
Tsinghua U.
2007
Tsinghua U.
Modeling correlated workloads by combining model based clustering and a localized sampling algorithm
13 years 11 months ago
ICB
2009
Springer
13 years 12 months ago
2009
Springer
Local Binary Pattern (LBP) histograms have attained much attention in face image analysis. They have been successfully used in face detection, recognition, verification, facial ex...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...