879 search results - page 102 / 176 » Forecasting high-dimensional data |
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
100
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SSDBM
2006
IEEE
15 years 3 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
IJAR
2008
14 years 10 months ago
2008
Proteomic profiling based on mass spectrometry is an important tool for studies at the protein and peptide level in medicine and health care. Thereby, the identification of releva...
114
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CGF
2010
14 years 6 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...