cluster_tab: Split a dtm into two clusters with reinert algorithm
In rainette: The Reinert Method for Textual Data Clustering
cluster_tab R Documentation
Split a dtm into two clusters with reinert algorithm
Description
Split a dtm into two clusters with reinert algorithm
Usage
cluster_tab(dtm, cc_test = 0.3, tsj = 3)
Arguments
dtm
to be split, passed by rainette
cc_test
maximum contingency coefficient value for the
feature to be kept in both groups.
tsj
minimum feature frequency in the dtm
Details
Internal function, not to be used directly
Value
An object of class hclust and rainette
rainette documentation built on March 31, 2023, 6:43 p.m.
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| cluster_tab | R Documentation |
Split a dtm into two clusters with reinert algorithm
Description
Split a dtm into two clusters with reinert algorithm
Usage
cluster_tab(dtm, cc_test = 0.3, tsj = 3)
Arguments
dtm |
to be split, passed by |
cc_test |
maximum contingency coefficient value for the feature to be kept in both groups. |
tsj |
minimum feature frequency in the dtm |
Details
Internal function, not to be used directly
Value
An object of class hclust and rainette
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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