434 search results - page 16 / 87 » Dimensionality Reduction of Clustered Data Sets |
ICONIP
2004
13 years 10 months ago
2004
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
SSD
2005
Springer
14 years 2 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-...
CIKM
2000
Springer
14 years 28 days ago
2000
Springer
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...