groupbn.output.table: groupbn.output.table

In GroupBN: Inferring Group Bayesian Networks using Hierarchical Feature Clustering

Description

Create an output table with clusters and included variables with similarity scores

Usage

groupbn.output.table(res, with.scores=TRUE)

Arguments

res	gn object
with.scores	if TRUE, similarity scores of every cluster member to the cluster center are added to the table

Value

a table with one column per group, similarity scores to cluster centers are calculated for each variable

Author(s)

Ann-Kristin Becker

See Also

groupbn groupbn_refinement

Examples

data("wine.groupbn.refined")
df<-groupbn.output.table(wine.groupbn.refined)

GroupBN documentation built on March 7, 2021, 5:06 p.m.