Clustering algorithms using stochastic analysis and ensemble techniques.
hier_from_blocks(block_mats, scales=None, index=None)
Given a parameterized ensemble of block matrices, each more coarse-grained than the last, constructs a corresponding Hierarchy object.
Arguments | Type | Description | |
---|---|---|---|
block_mats |
np.ndarray |
A three-dimensional array. The first dimension is the ensemble dimension, and the remaining two dimensions are equal. | |
scales |
Keyword | np.ndarray |
A one-dimensional monotonically increasing array, giving a scale parameter for each ensemble. |
index |
Keyword | Index |
The Index which labels the indices of block_mats.shape[1], and which will be the item set of the returned Aggregation. |