bundles / scipy latest / scipy / cluster / vq / _kpoints

function

`scipy.cluster.vq:_kpoints`

source: /scipy/cluster/vq.py :500

Signature

def _kpoints ( data , k , rng , xp )

Summary

Pick k points at random in data (one row = one observation).

Parameters

data : ndarray: Expect a rank 1 or 2 array. Rank 1 are assumed to describe one dimensional data, rank 2 multidimensional data, in which case one row is one observation.
k : int: Number of samples to generate.
rng : `numpy.random.Generator` or `numpy.random.RandomState`: Random number generator.

Returns

x : ndarray: A 'k' by 'N' containing the initial centroids

Aliases

scipy.cluster.vq._kpoints