dtoolkit.transformer.GeoKMeans.fit

GeoKMeans.fit(X, y=None, sample_weight=None)

Compute k-means clustering.

Parameters:

X{array-like, sparse matrix} of shape (n_samples, n_features)

Training instances to cluster. It must be noted that the data will be converted to C ordering, which will cause a memory copy if the given data is not C-contiguous. If a sparse matrix is passed, a copy will be made if it’s not in CSR format.

yIgnored

Not used, present here for API consistency by convention.

sample_weightarray-like of shape (n_samples,), default=None

The weights for each observation in X. If None, all observations are assigned equal weight. sample_weight is not used during initialization if init is a callable or a user provided array.

New in version 0.20.

Returns:

selfobject

Fitted estimator.