BiclusterMixin

class sklearn.base.BiclusterMixin

Mixin class for all bicluster estimators in scikit-learn.

This mixin defines the following functionality:

• biclusters_ property that returns the row and column indicators;

• get_indices method that returns the row and column indices of a bicluster;

• get_shape method that returns the shape of a bicluster;

• get_submatrix method that returns the submatrix corresponding to a bicluster.

Examples

>>> import numpy as np
>>> from sklearn.base import BaseEstimator, BiclusterMixin
>>> class DummyBiClustering(BiclusterMixin, BaseEstimator):
...     def fit(self, X, y=None):
...         self.rows_ = np.ones(shape=(1, X.shape[0]), dtype=bool)
...         self.columns_ = np.ones(shape=(1, X.shape[1]), dtype=bool)
...         return self
>>> X = np.array([[1, 1], [2, 1], [1, 0],
...               [4, 7], [3, 5], [3, 6]])
>>> bicluster = DummyBiClustering().fit(X)
>>> hasattr(bicluster, "biclusters_")
True
>>> bicluster.get_indices(0)
(array([0, 1, 2, 3, 4, 5]), array([0, 1]))

get_indices(i)

Row and column indices of the i’th bicluster.

Only works if rows_ and columns_ attributes exist.

Parameters:

iint

The index of the cluster.

Returns:

row_indndarray, dtype=np.intp

Indices of rows in the dataset that belong to the bicluster.

col_indndarray, dtype=np.intp

Indices of columns in the dataset that belong to the bicluster.

get_shape(i)

Shape of the i’th bicluster.

Parameters:

iint

The index of the cluster.

Returns:

n_rowsint

Number of rows in the bicluster.

n_colsint

Number of columns in the bicluster.

get_submatrix(i, data)

Return the submatrix corresponding to bicluster i.

Parameters:

iint

The index of the cluster.

dataarray-like of shape (n_samples, n_features)

The data.

Returns:

submatrixndarray of shape (n_rows, n_cols)

The submatrix corresponding to bicluster i.

Notes

Works with sparse matrices. Only works if rows_ and columns_ attributes exist.