kmeans(obs, k_or_guess, iter=20, thresh=1e-05, check_finite=True, *, seed=None)

Notes

Parameters

obs : ndarray

k_or_guess : int or ndarray

iter : int, optional

thresh : float, optional

check_finite : bool, optional

seed : {None, int, `numpy.random.Generator`, `numpy.random.RandomState`}, optional

Returns

codebook : ndarray

distortion : float

See Also

kmeans2

whiten

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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GitHub : /scipy/cluster/vq.py#315
type: <class 'function'>
Commit: