bootstrapHclust: Hierarchical Clustering with distance matrix computed using...
In MLGL: Multi-Layer Group-Lasso
Description
Usage
Arguments
Value
Examples
Description
Hierarchical Clustering with distance matrix computed using bootstrap replicates
Usage
1
bootstrapHclust(X, frac = 1, B = 50, method = "ward.D2", nCore = NULL)
Arguments
X
data
frac
fraction of sample used at each replicate
B
number of replicates
method
desired method: "single", "complete", "average", "mcquitty", "ward.D", "ward.D2", "centroid", "median".
nCore
number of cores
Value
An object of class hclust
Examples
1
hc <- bootstrapHclust(USArrests, nCore = 1)
MLGL documentation built on Dec. 31, 2019, 3 a.m.
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Description Usage Arguments Value Examples
Description
Hierarchical Clustering with distance matrix computed using bootstrap replicates
Usage
1 | bootstrapHclust(X, frac = 1, B = 50, method = "ward.D2", nCore = NULL)
|
Arguments
X |
data |
frac |
fraction of sample used at each replicate |
B |
number of replicates |
method |
desired method: "single", "complete", "average", "mcquitty", "ward.D", "ward.D2", "centroid", "median". |
nCore |
number of cores |
Value
An object of class hclust
Examples
1 | hc <- bootstrapHclust(USArrests, nCore = 1)
|
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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