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**dprep**: Data Pre-Processing and Visualization Functions for Classification**reliefcat**: Feature selection by the Relief Algorithm for datasets...

# 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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- eje1dis: Basic example for discriminant analysis
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- near3: Auxiliary function for the reliefcat function
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