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Function K-Means Clustering

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Description:
A Function that returns cluster centers for given data (X,Y) vector points.

Inputs:
_X: Array containing x data points.¹
_Y: Array containing y data points.¹
_number_of_clusters: number of clusters.

Note:
¹: _X and _Y size must match.

Outputs:
_centers_x: Array containing x data points.
_centers_y: Array containing y data points.

Resources:
rosettacode.org/wiki/K-means++_clustering
en.wikipedia.org/wiki/K-means_clustering
Notas de prensa
Update to V5 and fixed a a few errors in the code. -_-*

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