Python make_markov_row_stoch Examples

Example #1

def cluster_transform_matrices(clustering):
    Q = np.zeros([len(clustering), clustering.n], np.float)
    for (idx, center) in enumerate(clustering.clusters):
        Q[idx, np.array(list(center.elements))] = 1.0
    Qi = Q.T
    Q = markov.make_markov_row_stoch(Q)
    return Q, Qi

Example #2

File: flex_tree_build.py Project: hgfalling/pyquest

def cluster_transform_matrices(clustering):
    Q = np.zeros([len(clustering), clustering.n], np.float)
    for (idx, center) in enumerate(clustering.clusters):
        Q[idx, np.array(list(center.elements))] = 1.0
    Qi = Q.T
    Q = markov.make_markov_row_stoch(Q)
    return Q, Qi

Example #3

def cluster_transform(diffusion, clustering):
    Q = np.zeros([len(clustering), diffusion.shape[0]], np.float)
    for (idx, center) in enumerate(clustering.clusters):
        Q[idx, np.array(list(center.elements))] = 1.0
    Qi = Q.T
    Q = markov.make_markov_row_stoch(Q)
    return Q.dot(diffusion).dot(Qi)

Example #4

File: flex_tree_build.py Project: hgfalling/pyquest

def cluster_transform(diffusion, clustering):
    Q = np.zeros([len(clustering), diffusion.shape[0]], np.float)
    for (idx, center) in enumerate(clustering.clusters):
        Q[idx, np.array(list(center.elements))] = 1.0
    Qi = Q.T
    Q = markov.make_markov_row_stoch(Q)
    return Q.dot(diffusion).dot(Qi)