13651 search results - page 6 / 2731 » Spectral analysis of data |
106
Voted
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
93
Voted
NIPS
2004
15 years 9 days ago
2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
IJHPCA
2008
14 years 11 months ago
2008
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
79
Voted
HAIS
2010
Springer
14 years 11 months ago
2010
Springer
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specifi...
82
Voted
SAC
2006
ACM
15 years 4 months ago
2006
ACM
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...