Description Usage Arguments Value See Also Examples

This function provides a method to construct the NNL.

1 | ```
nnl(distance, K)
``` |

`distance` |
The distance matrix on the distinct values (a "number of unique observations" by "number of unique observations" matrix). |

`K` |
The value of k in "k-MST" or "k-NNL" to construct the similarity graph. |

`E` |
The edge matrix representing the similarity graph on the distinct values with the number of edges in the similarity graph being the number of rows and 2 columns. Each row records the subject indices of the two ends of an edge in the similarity graph. |

`gSeg`

, `gseg1_discrete`

, `gseg2_discrete`

1 2 3 4 5 6 7 8 9 |

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