`sklearn.datasets`.make_checkerboard¶

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.

Parameters

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 or None (default): Determines random number generation for dataset creation. Pass an int for reproducible output across multiple function calls. See Glossary.

Returns

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.

sklearn.datasets.make_checkerboard¶