436 search results - page 23 / 88 » Automatic Subspace Clustering of High Dimensional Data for D... |
CIKM
2003
Springer
14 years 27 days ago
2003
Springer
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
ISCA
2007
IEEE
13 years 7 months ago
2007
IEEE
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
JMLR
2002
13 years 7 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
GFKL
2004
Springer
14 years 1 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...
PAKDD
2001
ACM
14 years 2 days ago
2001
ACM
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...