434 search results - page 75 / 87 » Dimensionality Reduction of Clustered Data Sets |
KDD
2002
ACM
14 years 9 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
PAMI
2008
13 years 8 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
CCGRID
2007
IEEE
14 years 3 months ago
2007
IEEE
Increasing power consumption of high-performance systems leads to reliability, survivability, and cooling related problems. Motivated by this observation, several recent efforts f...
ICDCS
2006
IEEE
14 years 2 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
DAGSTUHL
2010
13 years 10 months ago
2010
The display of surfaces and solids has usually been restricted to the domain of scientific visualization; however, little work has been done on the visualization of surfaces and s...