spectral.py 文件源码

def __init__(self, n_clusters=8, eigen_solver=None, random_state=None,
                 n_init=10, gamma=1., affinity='rbf', n_neighbors=10,
                 eigen_tol=0.0, assign_labels='kmeans', degree=3, coef0=1,
                 kernel_params=None, norm_laplacian=True):
        super(SpectralClustering, self).__init__(
            n_clusters=n_clusters, eigen_solver=eigen_solver,
            random_state=random_state, n_init=n_init, gamma=gamma,
            affinity=affinity, n_neighbors=n_neighbors, eigen_tol=eigen_tol,
            assign_labels=assign_labels, degree=degree, coef0=coef0,
            kernel_params=kernel_params)
        self.norm_laplacian = norm_laplacian