sklearn.datasets.make_biclusters¶
-
sklearn.datasets.make_biclusters(shape, n_clusters, noise=0.0, minval=10, maxval=100, shuffle=True, random_state=None)[source]¶ Generate an array with constant block diagonal structure for biclustering.
Read more in the User Guide.
- Parameters
- shapeiterable (n_rows, n_cols)
The shape of the result.
- n_clustersinteger
The number of biclusters.
- 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.
- Xarray of shape
See also
References
- 1
Dhillon, I. S. (2001, August). Co-clustering documents and words using bipartite spectral graph partitioning. In Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 269-274). ACM.
