msaf/algorithms/fmc2d/xmeans.py
def get_clustered_data(self, X, labels, label_index):
        """Returns the data with a specific label_index, using the previously
         learned labels."""
        D = X[np.argwhere(labels == label_index)]
        return D.reshape((D.shape[0], D.shape[-1]))
def get_clustered_data(self, X, labels, label_index):
        D = X[np.argwhere(labels == label_index)]
        return D.reshape((D.shape[0], D.shape[-1]))
def get_clustered_data ( self , X , labels , label_index ) : D = X [ np . argwhere ( labels == label_index ) ] return D . reshape ( ( D . shape [ 0 ] , D . shape [ - 1 ] ) )
Returns the data with a specific label_index, using the previously
         learned labels.
Returns the data with a specific label_index using the previously learned labels .