partition_by_kmeans.Rd
Partition by kmeans
partition_by_kmeans(mat, n_repeats = 10)
The similarity matrix.
Number of repeated runs of k-means.
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
.
# There is no example
NULL
#> NULL