gkn_weights
combines Gaussian kernel weights with k-nearest neighbor weights
1 | gkn_weights(X, phi = 0.5, k_row = 5, k_col = 5)
|
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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