bundles / scipy latest / scipy / cluster / vq / _kmeans

function

`scipy.cluster.vq:_kmeans`

source: /scipy/cluster/vq.py :279

Signature

def _kmeans ( obs , guess , thresh = 1e-05 , xp = None )

Summary

"raw" version of k-means.

Returns

: code_book: The lowest distortion codebook found.
: avg_dist: The average distance a observation is from a code in the book. Lower means the code_book matches the data better.

Examples

Note: not whitened in this example.

import numpy as np
from scipy.cluster.vq import _kmeans
features  = np.array([[ 1.9,2.3],
                      [ 1.5,2.5],
                      [ 0.8,0.6],
                      [ 0.4,1.8],
                      [ 1.0,1.0]])
book = np.array((features[0],features[2]))

✓

_kmeans(features,book)

✗

See also

kmeans: wrapper around k-means

Aliases

scipy.cluster.vq._kmeans