plotOptimalClustersTree

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.

We provide the framework to analyze multiresolution partitions (e.g. country, provinces, subdistrict) where each individual data point belongs to only one partition in each layer (e.g. i belongs to subdistrict A, province P, and country Q). We assume that a partition in a higher layer subsumes lower-layer partitions (e.g. a nation is at the 1st layer subsumes all provinces at the 2nd layer). Given N individuals that have a pair of real values (x,y) that generated from independent variable X and dependent variable Y. Each individual i belongs to one partition per layer. Our goal is to find which partitions at which highest level that all individuals in the these partitions share the same linear model Y=f(X) where f is a linear function. The framework deploys the Minimum Description Length principle (MDL) to infer solutions. The publication of this package is at Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong (2021) <doi:10.1145/3424670>.

Chainarong Amornbunchornvej

MRReg

MDL Multiresolution Linear Regression Framework

plotOptimalClustersTree function

<dl><dt>resObj</dt>
<dd>is an object list, which is the output of FindMaxHomoOptimalPartitions function</dd></dl>

Arguments

plotOptimalClustersTree — plotOptimalClustersTree

<dl>

<dt>resObj</dt>
<dd>is an object list, which is the output of FindMaxHomoOptimalPartitions function</dd>

</dl>

plotOptimalClustersTree: plotOptimalClustersTree

Description

Usage

Value

Arguments

Examples