dtoolkit.transformer.GeoKMeans.fit_transform

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

Compute clustering and transform X to cluster-distance space.

Equivalent to fit(X).transform(X), but more efficiently implemented.

Parameters:

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

New data to transform.

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.

Returns:

X_newndarray of shape (n_samples, n_clusters)

X transformed in the new space.