sklearn.cluster.estimate_bandwidth¶

sklearn.cluster.estimate_bandwidth(X, quantile=0.3, n_samples=None, random_state=0)¶

Estimate the bandwidth to use with MeanShift algorithm

Parameters :

Parameters :	X : array [n_samples, n_features] Input points. quantile : float, default 0.3 should be between [0, 1] 0.5 means that the median of all pairwise distances is used. n_samples : int The number of samples to use. If None, all samples are used. random_state : int or RandomState Pseudo number generator state used for random sampling.
Returns :	bandwidth : float The bandwidth parameter.

X : array [n_samples, n_features]

Input points.

quantile : float, default 0.3

should be between [0, 1] 0.5 means that the median of all pairwise distances is used.

n_samples : int

The number of samples to use. If None, all samples are used.

random_state : int or RandomState

Pseudo number generator state used for random sampling.

Returns :

bandwidth : float

The bandwidth parameter.