# Gaussian Kernel + k-Nearest Neighbor Weights

### Description

`gkn_weights`

combines Gaussian kernel weights with k-nearest neighbor weights

### Usage

1 | ```
gkn_weights(X, phi = 0.5, k_row = 5, k_col = 5)
``` |

### Arguments

`X` |
The data matrix to be clustered. The rows are the features, and the columns are the samples. |

`phi` |
The nonnegative parameter that controls the scale of kernel weights |

`k_row` |
The number of row nearest neighbors |

`k_col` |
The number of column nearest neighbors |

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