common_features: Common features in raw data
In pievos101/DFNET: Network-guided greedy decision forest for feature subset selection
common_features R Documentation
Common features in raw data
Description
Extracts common features from heterogenous data and simplifies them into a
three-dimensional array, thus making them homogenous.
Usage
common_features(features)
Arguments
features
list of matrices.
Value
A three-dimensional array containing the common features
(as per column names).
See Also
Other data laundering techniques:
cut_off(),
graphed_features(),
induced.subgraph.by_name(),
launder()
pievos101/DFNET documentation built on Dec. 1, 2022, 3:44 p.m.
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| common_features | R Documentation |
Common features in raw data
Description
Extracts common features from heterogenous data and simplifies them into a three-dimensional array, thus making them homogenous.
Usage
common_features(features)
Arguments
features |
list of matrices. |
Value
A three-dimensional array containing the common features (as per column names).
See Also
Other data laundering techniques:
cut_off(),
graphed_features(),
induced.subgraph.by_name(),
launder()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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