def _labels_cost(X, centroids, dissim, membship=None):
    """Calculate labels and cost function given a matrix of points and
    a list of centroids for the k-modes algorithm.
    """

    X = check_array(X)

    n_points = X.shape[0]
    cost = 0.
    labels = np.empty(n_points, dtype=np.uint16)
    for ipoint, curpoint in enumerate(X):
        diss = dissim(centroids, curpoint, X=X, membship=membship)
        clust = np.argmin(diss)
        labels[ipoint] = clust
        cost += diss[clust]

    return labels, cost
def _labels_cost ( X , centroids , dissim , membship = None ) : X = check_array ( X ) n_points = X . shape [ 0 ] cost = 0. labels = np . empty ( n_points , dtype = np . uint16 ) for ipoint , curpoint in enumerate ( X ) : diss = dissim ( centroids , curpoint , X = X , membship = membship ) clust = np . argmin ( diss ) labels [ ipoint ] = clust cost += diss [ clust ] return labels , cost
Calculate labels and cost function given a matrix of points and
    a list of centroids for the k-modes algorithm.