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File Content: `_feature_agglomeration.cpython-35.pyc`



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Feature agglomeration. Base classes and functions for performing feature
agglomeration.
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    A class for feature agglomeration via the transform interface
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        Transform a new matrix using the built clustering

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        X : array-like, shape = [n_samples, n_features] or [n_features]
            A M by N array of M observations in N dimensions or a length
            M array of M one-dimensional observations.

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            The pooled values for each feature cluster.
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        Inverse the transformation.
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            The values to be assigned to each cluster of samples

        Returns
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Name	Size	Permission
__init__.cpython-35.opt-1.pyc	1160 bytes	0644
__init__.cpython-35.pyc	1160 bytes	0644
_feature_agglomeration.cpython-35.opt-1.pyc	2478 bytes	0644
_feature_agglomeration.cpython-35.pyc	2478 bytes	0644
affinity_propagation_.cpython-35.opt-1.pyc	9332 bytes	0644
affinity_propagation_.cpython-35.pyc	9332 bytes	0644
bicluster.cpython-35.opt-1.pyc	17924 bytes	0644
bicluster.cpython-35.pyc	17924 bytes	0644
birch.cpython-35.opt-1.pyc	17712 bytes	0644
birch.cpython-35.pyc	17712 bytes	0644
dbscan_.cpython-35.opt-1.pyc	11471 bytes	0644
dbscan_.cpython-35.pyc	11471 bytes	0644
hierarchical.cpython-35.opt-1.pyc	26136 bytes	0644
hierarchical.cpython-35.pyc	26172 bytes	0644
k_means_.cpython-35.opt-1.pyc	43828 bytes	0644
k_means_.cpython-35.pyc	43903 bytes	0644
mean_shift_.cpython-35.opt-1.pyc	14364 bytes	0644
mean_shift_.cpython-35.pyc	14364 bytes	0644
setup.cpython-35.opt-1.pyc	1312 bytes	0644
setup.cpython-35.pyc	1312 bytes	0644
spectral.cpython-35.opt-1.pyc	15802 bytes	0644
spectral.cpython-35.pyc	15802 bytes	0644

File Content: _feature_agglomeration.cpython-35.pyc

File Content: `_feature_agglomeration.cpython-35.pyc`