plotOptimalClustersTree: plotOptimalClustersTree
In DarkEyes/MRReg: MDL Multiresolution Linear Regression Framework
View source: R/plotOptimalClustersTree.R
plotOptimalClustersTree R Documentation
plotOptimalClustersTree
Description
plotOptimalClustersTree is a support function for plotting the hierarchical tree of optimal clusters
from FindMaxHomoOptimalPartitions function.
The red node(s) are the optimal homogeneous clusters while the gray nodes are non-optimal clusters.
Usage
plotOptimalClustersTree(resObj)
Arguments
resObj
is an object list, which is the output of FindMaxHomoOptimalPartitions function
Value
No return value, called for plotting the hierarchical tree of optimal clusters.
Examples
# Running FindMaxHomoOptimalPartitions using simulation data
DataT<-SimpleSimulation(100,type=1)
obj<-FindMaxHomoOptimalPartitions(DataT,gamma=0.05)
# Plotting the result
plotOptimalClustersTree(obj)
DarkEyes/MRReg documentation built on Aug. 24, 2022, 5:47 p.m.
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View source: R/plotOptimalClustersTree.R
| plotOptimalClustersTree | R Documentation |
plotOptimalClustersTree
Description
plotOptimalClustersTree is a support function for plotting the hierarchical tree of optimal clusters from FindMaxHomoOptimalPartitions function.
The red node(s) are the optimal homogeneous clusters while the gray nodes are non-optimal clusters.
Usage
plotOptimalClustersTree(resObj)
Arguments
resObj |
is an object list, which is the output of FindMaxHomoOptimalPartitions function |
Value
No return value, called for plotting the hierarchical tree of optimal clusters.
Examples
# Running FindMaxHomoOptimalPartitions using simulation data DataT<-SimpleSimulation(100,type=1) obj<-FindMaxHomoOptimalPartitions(DataT,gamma=0.05) # Plotting the result plotOptimalClustersTree(obj)
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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