build_tree: Using non-backtracking strategy for stopping rule and build...
In verasiwei/sbmSC: What the Package Does in One 'Title Case' Line
Description
Usage
Arguments
Value
Examples
View source: R/partition_tree.R
Description
build_tree returns a dataframe
Usage
1
build_tree(f, xi.loc.labels, ncl, cl.labels, n.min = 25, D = NULL)
Arguments
f
It is the adjencency matrix
xi.loc.labels
lists of index of each cluster
ncl
number of clusters
cl.labels
a vector of index of individuals
Value
Lists of cluster results
Examples
1
cluster_result <- build_tree(adj,xi.loc.labels=list(), ncl=0, cl.labels=1:339,n.min=25,D=NULL)
verasiwei/sbmSC documentation built on Feb. 27, 2020, 2:54 a.m.
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Description Usage Arguments Value Examples
View source: R/partition_tree.R
Description
build_tree returns a dataframe
Usage
1 | build_tree(f, xi.loc.labels, ncl, cl.labels, n.min = 25, D = NULL)
|
Arguments
f |
It is the adjencency matrix |
xi.loc.labels |
lists of index of each cluster |
ncl |
number of clusters |
cl.labels |
a vector of index of individuals |
Value
Lists of cluster results
Examples
1 | cluster_result <- build_tree(adj,xi.loc.labels=list(), ncl=0, cl.labels=1:339,n.min=25,D=NULL)
|
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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