Python sklearn.cluster.affinity_propagation() Examples

The following are 2 code examples of sklearn.cluster.affinity_propagation(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module sklearn.cluster , or try the search function .
Example #1
Source File: statistical.py    From kenchi with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def _fit(self, X):
        self.estimator_     = GraphicalLasso(
            alpha           = self.alpha,
            assume_centered = self.assume_centered,
            enet_tol        = self.enet_tol,
            max_iter        = self.max_iter,
            mode            = self.mode,
            tol             = self.tol
        ).fit(X)

        _, self.labels_     = affinity_propagation(
            self.partial_corrcoef_, **self._apcluster_params
        )

        return self
Example #2
Source File: test_cluster.py    From pandas-ml with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def test_affinity_propagation(self):
        iris = datasets.load_iris()
        similality = np.cov(iris.data)
        df = pdml.ModelFrame(similality)

        result = df.cluster.affinity_propagation()
        expected = cluster.affinity_propagation(similality)

        self.assertEqual(len(result), 2)
        self.assert_numpy_array_almost_equal(result[0], expected[0])

        self.assertIsInstance(result[1], pdml.ModelSeries)
        tm.assert_index_equal(result[1].index, df.index)
        tm.assert_numpy_array_equal(result[1].values, expected[1])