Fast caclulation of the k-nearest neighbor distances in a matrix of points.
The plot can be used to help find a suitable value for the
`eps`

neighborhood for DBSCAN. Look for the knee in the plot.

1 2 | ```
kNNdist(x, k, ...)
kNNdistplot(x, k = 4, ...)
``` |

`x` |
the data set as a matrix or a dist object. |

`k` |
number of nearest neighbors used (use minPoints). |

`...` |
further arguments are passed on to |

See `kNN`

for a discusion of the kd-tree related parameters.

`kNNdist`

returns a numeric vector with the distance to its k nearest
neighbor.

Michael Hahsler

`kNN`

.

1 2 3 4 5 6 7 8 9 10 |

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