Description Usage Arguments Value

Calculates the local outlier factor (LOF) for multidimensional data

1 |

`x` |
a matrix or data frame of data points. Each row is a data point, each column is a dimension. |

`k` |
number of nearest neighbors in the LOF calculation (default 5). |

`metric` |
distance metric to use. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given, case-insensitive |

`q` |
the power of the Minkowski distance. |

a vector of LOF values, in the same order as the data points in `x`

. NA values will be returned for those data points which contained at least one NA coordinate.

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