1344 search results - page 14 / 269 » Cluster Analysis of High-Dimensional Data: A Case Study |
GFKL
2004
Springer
14 years 28 days 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...
FPL
2003
Springer
14 years 23 days ago
2003
Springer
Although microarrays are already having a tremendous impact on biomedical science, they still present great computational challenges. We examine a particular problem involving the...
DAWAK
2004
Springer
14 years 29 days ago
2004
Springer
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...
ICCS
2003
Springer
14 years 23 days ago
2003
Springer
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...