def order_func(times, data):
    this_data = data[:, (times > 0.0) & (times < 0.350)]
    this_data /= np.sqrt(np.sum(this_data**2, axis=1))[:, np.newaxis]
    return np.argsort(
        spectral_embedding(rbf_kernel(this_data, gamma=1.),
                           n_components=1,
                           random_state=0).ravel())
def order_func(times, data):
    this_data = data[:, (times > 0.0) & (times < 0.350)]
    this_data /= np.sqrt(np.sum(this_data ** 2, axis=1))[:, np.newaxis]
    return np.argsort(spectral_embedding(rbf_kernel(this_data, gamma=1.),
                      n_components=1, random_state=0).ravel())
def order_func(times, data):
    this_data = data[:, (times > 0.0) & (times < 0.350)]
    return np.argsort(spectral_embedding(np.corrcoef(this_data),
                      n_components=1, random_state=0).ravel())
Beispiel #4
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def order_func(times, data):
    this_data = data[:, (times > 0.0) & (times < 0.350)]
    return np.argsort(
        spectral_embedding(np.corrcoef(this_data),
                           n_components=1,
                           random_state=0).ravel())