Description Usage Arguments Value Rdrags functions
Rdrags implements the high-dimensional feature selection algorithm called Dense Relevant Attribute Group Selector by Yu, Ding and Loscalzo, KDD 2008
Dense Relevant Attribute Group Selector
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data |
Data to process |
maxFeatures |
Number of features to be selected. |
h |
Bandwidth, will not be used when useKNN is TRUE. |
k |
Neighborhood size for k-NN. Will only be used when useKNN is TRUE. |
useKNN |
Should k-NN be used to determine the mean distance h? |
kernelType |
Type of the kernel to be used, either "gaussian" or "flat" |
eps |
Stopping criterion for convergence. |
maxIter |
Maximum number of iterations |
lambda |
Lambda, only used when KernelType is flat |
List of selected features.
Rdrags
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