sklearn.cluster.estimate_bandwidth¶
- sklearn.cluster.estimate_bandwidth(X, quantile=0.3, n_samples=None, random_state=0)[source]¶
Estimate the bandwidth to use with the mean-shift algorithm.
That this function takes time at least quadratic in n_samples. For large datasets, it’s wise to set that parameter to a small value.
Parameters: X : array-like, shape=[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, optional
The number of samples to use. If not given, all samples are used.
random_state : int or RandomState
Pseudo-random number generator state used for random sampling.
Returns: bandwidth : float
The bandwidth parameter.
