Partition by kmeans

Partition by kmeans

partition_by_kmeans(mat, n_repeats = 10)

Arguments

mat

The similarity matrix.

n_repeats

Number of repeated runs of k-means.

Details

Since k-means clustering brings randomness, this function performs k-means clustering several times (controlled by n_repeats) and uses the final consensus partitioning.

This function is used to set to the partition_fun argument in binary_cut.

Examples

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