Description Usage Arguments Value Examples

View source: R/SpectralClustering.R

Generate a symmetric affinity matrix based on a distance matrix using 'local' Gaussian kernel

1 | ```
affinity_matrix(D, k, alpha = 1/6, beta = 1/6)
``` |

`D` |
distance matrix (need to be a square and non-negative matrix) |

`k` |
the number of k-nearest neighbors |

`alpha` |
coefficient for local diameters. Default value: 1/6. This default value should work for most cases. |

`beta` |
coefficient for pair-wise distance. Default value: 1/6. This default value should work for most cases. |

an affinity matrix

1 2 |

```
```

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