879 search results - page 5 / 176 » Forecasting high-dimensional data |
ICDM
2003
IEEE
15 years 2 months 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...
BMCBI
2007
14 years 9 months ago
2007
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
104
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KDD
2006
ACM
15 years 10 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
COLT
2010
Springer
14 years 7 months ago
2010
Springer
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
168
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...