W3cubDocs

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:

Parameters:	`shape : iterable (n_rows, n_cols)` The shape of the result. `n_clusters : integer or iterable (n_row_clusters, n_column_clusters)` The number of row and column clusters. `noise : float, optional (default=0.0)` The standard deviation of the gaussian noise. `minval : int, optional (default=10)` Minimum value of a bicluster. `maxval : int, optional (default=100)` Maximum value of a bicluster. `shuffle : boolean, optional (default=True)` Shuffle the samples. `random_state : int, 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:	`X : array of shape shape` The generated array. `rows : array of shape (n_clusters, X.shape[0],)` The indicators for cluster membership of each row. `cols : array of shape (n_clusters, X.shape[1],)` The indicators for cluster membership of each column.

shape : iterable (n_rows, n_cols): The shape of the result.
n_clusters : integer or iterable (n_row_clusters, n_column_clusters): The number of row and column clusters.
noise : float, optional (default=0.0): The standard deviation of the gaussian noise.
minval : int, optional (default=10): Minimum value of a bicluster.
maxval : int, optional (default=100): Maximum value of a bicluster.
shuffle : boolean, optional (default=True): Shuffle the samples.
random_state : int, 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:

X : array of shape shape: The generated array.
rows : array of shape (n_clusters, X.shape[0],): The indicators for cluster membership of each row.
cols : array of shape (n_clusters, X.shape[1],): The indicators for cluster membership of each column.

[1]	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.