find_best_km: Find a best k for the k-means clustering
In cola: A Framework for Consensus Partitioning

Find a best k for the k-means clustering

1	find_best_km(mat, max_km = 15)

`mat`	A matrix where k-means clustering is executed by rows.
`max_km`	Maximal k to try.

The best k is determined by looking for the knee/elbow of the WSS curve (within-cluster sum of square).

Note this function is only for a rough and quick estimation of the best k.

1 2	# There is no example NULL

cola documentation built on Nov. 8, 2020, 8:12 p.m.

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