Description Usage Arguments Details Value References See Also Examples

Edited Nearest Neighbor removes any example whose class label differs from the class of at least two of its three nearest neighbors.

1 |

`X` |
the input variables of the unbalanced dataset. |

`Y` |
the response variable of the unbalanced dataset. It must be a binary factor where the majority class is coded as 0 and the minority as 1. |

`k` |
the number of neighbours to use |

`verbose` |
print extra information (TRUE/FALSE) |

In order to compute nearest neighbors, only numeric features are allowed.

The function returns a list:

`X` |
input variables |

`Y` |
response variable |

D. Wilson. Asymptotic properties of nearest neighbor rules using edited data. Systems, Man and Cybernetics, IEEE Transactions on, 408-421, 1972.

1 2 3 4 5 6 7 8 | ```
library(unbalanced)
data(ubIonosphere)
n<-ncol(ubIonosphere)
output<-ubIonosphere$Class
input<-ubIonosphere[ ,-n]
data<-ubENN(X=input, Y= output)
newData<-cbind(data$X, data$Y)
``` |

unbalanced documentation built on May 29, 2017, 8:47 p.m.

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