766 search results - page 23 / 154 » Clustering high dimensional data using subspace and projecte... |
IDEAL
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
IJCAI
2007
13 years 10 months ago
2007
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
ICDE
2008
IEEE
14 years 10 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...
ISCA
2007
IEEE
13 years 8 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 ...