birch.py 文件源码

def transform(self, X):
        """
        Transform X into subcluster centroids dimension.

        Each dimension represents the distance from the sample point to each
        cluster centroid.

        Parameters
        ----------
        X : {array-like, sparse matrix}, shape (n_samples, n_features)
            Input data.

        Returns
        -------
        X_trans : {array-like, sparse matrix}, shape (n_samples, n_clusters)
            Transformed data.
        """
        check_is_fitted(self, 'subcluster_centers_')
        return euclidean_distances(X, self.subcluster_centers_)