sklearn.manifold.spectral_embedding 파라미터

spectral_embedding

sklearn.manifold.spectral_embedding(adjacency, *, n_components=8, eigen_solver=None, random_state=None, eigen_tol=0.0, norm_laplacian=True, drop_first=True)

spectral_embedding 파라미터

adjacency{array-like, sparse graph} of shape (n_samples, n_samples)

n_componentsint, default=8

eigen_solver{‘arpack’, ‘lobpcg’, ‘amg’}, default=None

random_stateint, RandomState instance or None, default=None

 

eigen_tolfloat, default=0.0

norm_laplacianbool, default=True

drop_firstbool, default=True