This GitHub repository contains the R code for the paper titled "Zero-Inflated Time-Series Clustering Via Ensemble Thick-Pen Transform"
by Minji Kim, Hee-Seok Oh and Yaeji Lim, Feb 2023.
The repository includes the following files:
-
functions.R; Main functions for ZITS clustering, including TPT pen shape and clustering algorithm. -
simulation_models.R; Data generation for simulation models. -
simulation_analysis.R; ZITS clustering and comparison methods for simulation data, which loads "functions.R" and "simulation_models.R". -
covid_analysis.R; ZITS clustering and comparison methods for covid-19 data, which loads "functions.R". -
step_readData.R; Data load for step count data. -
step_analysis.R; ZITS clustering and comparison methods for step count data, which loads "functions.R" and "step_readData.R". -
eda_plots.R; Draw figures for the paper using the step dataset.
The COVID-19 data is publicly available and therefore provided in this repository, but the step count data is not publicly available. If you have any requests regarding the dataset, please contact mkim5@unc.edu.