von_mises_fisher_mixture.py 文件源码

def fit(self, X, y=None):
        """Compute mixture of von Mises Fisher clustering.

        Parameters
        ----------
        X : array-like or sparse matrix, shape=(n_samples, n_features)
        """
        if self.normalize:
            X = normalize(X)

        self._check_force_weights()
        random_state = check_random_state(self.random_state)
        X = self._check_fit_data(X)

        (self.cluster_centers_, self.labels_, self.inertia_, self.weights_,
         self.concentrations_, self.posterior_) = movMF(
                X, self.n_clusters, posterior_type=self.posterior_type,
                force_weights=self.force_weights, n_init=self.n_init,
                n_jobs=self.n_jobs, max_iter=self.max_iter,
                verbose=self.verbose, init=self.init,
                random_state=random_state,
                tol=self.tol, copy_x=self.copy_x
            )

        return self