https://github.com/souris-dev/clustering-cancer-risk
Clustering on a Cancer Risk by Air Toxicity data set
https://github.com/souris-dev/clustering-cancer-risk
Last synced: 2 months ago
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Clustering on a Cancer Risk by Air Toxicity data set
- Host: GitHub
- URL: https://github.com/souris-dev/clustering-cancer-risk
- Owner: souris-dev
- Created: 2020-05-03T09:30:16.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-03T09:31:42.000Z (about 5 years ago)
- Last Synced: 2025-01-23T05:14:22.453Z (4 months ago)
- Language: Jupyter Notebook
- Size: 8.21 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Clustering and Analysis of Cancer Risk Data set
### Project 3 of Algorithmic Thinking (Part 2)
This project aims to implement and analyze two methods of clustering: k-means clustering and
hierarchical clustering on a cancer risk by air toxicity dataset (more about the dataset [here](https://www.epa.gov/national-air-toxics-assessment/2005-national-air-toxics-assessment)).
This project has been built as a part of a Coursera course: [Algorithmic Thinking (Part 2)](https://www.coursera.org/learn/algorithmic-thinking-2)
Some of the code was provided as a template.
The Jupyter notebooks can be used to generate the graphs there in the `graphs` directory.