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Feature selection by the Relief Algorithm for datasets containing nominal features
Description
This function applies the RELIEF Algorithm to datasets containing nominal attributes.
Usage
1 |
Arguments
data |
The name of the dataset |
nosample |
The size of the sample drawn and used to update the relevance of each feature. Usually it is equal to the total number of instances. |
threshold |
The threshold for choosing the relevant features |
vnom |
A vector of indices indicating the nominal features |
repet |
The number of the repetitions. It is recommended to use at most 10 repetitions. If the nosample=number of instances then set repet=1 |
Author(s)
Edgar Acuna
See Also
relief
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