change_points_clustering
This repository contains the code for the replication of the results in the paper ....
Science Score: 44.0%
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Low similarity (4.6%) to scientific vocabulary
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Repository
This repository contains the code for the replication of the results in the paper ....
Basic Info
- Host: GitHub
- Owner: lucadanese
- Language: R
- Default Branch: main
- Size: 57.6 KB
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Citation
README.md
ChangePointsClustering
This repository contains the code for replicating the code in the paper Model-based clustering of time-dependent observations with common structural changes (2024) by Corradin R., Danese L., KhudaBukhsh W.R. and Ongaro A. .
The scripts are divided in two groups, those starting with TS are for time series data, while those starting with EPI are for epidemiological data.
Time series data
- TS01_functions.R contains all the functions needed
- TS02maincode.R contains the main algorithm
- TS03generatesimdata.R code to generate simulated data
- TS04runsimulations.R run all the simulations
- TS05pointestimate.R contains the code to get the point estimate of the partition
Epidemiological data
- EPI01maincode.cpp contains the main algorithm
- EPI02generatesimdata.R code to generate simulated EPI data
- EPI03runsimulations.R run all the simulations
- EPI04pointestimate.R contains the code to get the point estimate of the partition
Owner
- Name: Luca Danese
- Login: lucadanese
- Kind: user
- Repositories: 1
- Profile: https://github.com/lucadanese
PhD Student in Statistics
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Danese" given-names: "Luca" orcid: "https://orcid.org/0000-0001-8444-8563" title: "Change Points Clustering" version: 1.0.0 doi: date-released: 2024-7-23 url: "https://github.com/lucadanese/Change_Points_Clustering"
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- Push event: 3
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