504 search results - page 6 / 101 » PCS: An Efficient Clustering Method for High-Dimensional Dat... |
SSD
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
ICDM
2003
IEEE
14 years 28 days ago
2003
IEEE
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...