sklearn.datasets.make_checkerboard(shape, n_clusters, *, noise=0.0, minval=10, maxval=100, shuffle=True, random_state=None)[source]

Generate an array with block checkerboard structure for biclustering.

Read more in the User Guide.

shapeiterable (n_rows, n_cols)

The shape of the result.

n_clustersinteger or iterable (n_row_clusters, n_column_clusters)

The number of row and column clusters.

noisefloat, optional (default=0.0)

The standard deviation of the gaussian noise.

minvalint, optional (default=10)

Minimum value of a bicluster.

maxvalint, optional (default=100)

Maximum value of a bicluster.

shuffleboolean, optional (default=True)

Shuffle the samples.

random_stateint, RandomState instance, default=None

Determines random number generation for dataset creation. Pass an int for reproducible output across multiple function calls. See Glossary.

Xarray of shape shape

The generated array.

rowsarray of shape (n_clusters, X.shape[0],)

The indicators for cluster membership of each row.

colsarray of shape (n_clusters, X.shape[1],)

The indicators for cluster membership of each column.

See also




Kluger, Y., Basri, R., Chang, J. T., & Gerstein, M. (2003). Spectral biclustering of microarray data: coclustering genes and conditions. Genome research, 13(4), 703-716.

Examples using sklearn.datasets.make_checkerboard