bundles / scipy latest / scipy / stats / _qmc / _lloyd_iteration
function
scipy.stats._qmc:_lloyd_iteration
source: build-install/usr/lib/python3.14/site-packages/scipy/stats/_qmc.py:2671
Signature
def _lloyd_iteration(sample: np.ndarray, decay: float, qhull_options: str) → np.ndarraySummary
Lloyd-Max algorithm iteration.
Extended Summary
Based on the implementation of Stéfan van der Walt:
https://github.com/stefanv/lloyd
which is:
Copyright (c) 2021-04-21 Stéfan van der Walt https://github.com/stefanv/lloyd MIT License
Parameters
sample: array_like (n, d)The sample to iterate on.
decay: floatRelaxation decay. A positive value would move the samples toward their centroid, and negative value would move them away. 1 would move the samples to their centroid.
qhull_options: strAdditional options to pass to Qhull. See Qhull manual for details. (Default: "Qbb Qc Qz Qj Qx" for ndim > 4 and "Qbb Qc Qz Qj" otherwise.)
Returns
sample: array_like (n, d)The sample after an iteration of Lloyd's algorithm.
Aliases
scipy.stats._qmc._lloyd_iteration