deviationalize: Deviationalizes term vectors using Sherin's (2013) technique
In clustRcompaR: Easy Interface for Clustering a Set of Documents and Exploring Group- Based Patterns
Description
Usage
Arguments
Details
View source: R/clustRcompaR_background.R
Description
Deviationalizes term vectors using Sherin's (2013) technique
Usage
1
deviationalize(cleaned_dfm)
Arguments
cleaned_dfm
A clean dfm object as created by clean_dfm
Details
Turns term vectors into deviation vectors. This turns the
magnitude of each vector into a representation of its distance from
the centroid, rather than its absolute direction.
@export
clustRcompaR documentation built on May 1, 2019, 11:16 p.m.
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Description Usage Arguments Details
View source: R/clustRcompaR_background.R
Description
Deviationalizes term vectors using Sherin's (2013) technique
Usage
1 | deviationalize(cleaned_dfm)
|
Arguments
cleaned_dfm |
A clean dfm object as created by |
Details
Turns term vectors into deviation vectors. This turns the magnitude of each vector into a representation of its distance from the centroid, rather than its absolute direction. @export
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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