https://github.com/zeinhasan/time-series-clustering-for-grouping-the-impact-of-the-recession-in-indonesia
Monitoring Anticipatory Impact of Recession in Indonesia Based on Machine Learning
https://github.com/zeinhasan/time-series-clustering-for-grouping-the-impact-of-the-recession-in-indonesia
Last synced: 4 months ago
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Monitoring Anticipatory Impact of Recession in Indonesia Based on Machine Learning
- Host: GitHub
- URL: https://github.com/zeinhasan/time-series-clustering-for-grouping-the-impact-of-the-recession-in-indonesia
- Owner: zeinhasan
- Created: 2023-06-10T16:53:35.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-06-10T17:00:05.000Z (about 2 years ago)
- Last Synced: 2025-01-02T11:28:44.426Z (6 months ago)
- Language: Jupyter Notebook
- Size: 3.85 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Time-Series-Clustering-for-grouping-the-Impact-of-the-Recession-in-Indonesia
Monitoring Anticipatory Impact of Recession in Indonesia Based on Machine Learning
Desc :
This project aims to monitor economic developments and recessions. This study used time series secondary data containing CPI (index), inflation (percent), export value (million USD), import value (million USD) monthly from 34 provinces in Indonesia which were accessed from the website of the Central Bureau of Statistics of provinces with time ranges January 2020 to August 2022.This study uses the K-Means Clustering and Kernel K Means algorithms with the distances used are Euclidean, Dynamic Time Warping, and Soft Dynamic Time Warping.