https://github.com/kyrczak/clustering-algorithms-analysis
Clustering Algorithms Analysis is an artificial intelligence project analyzing data clustering algorithms and comparing their pros and cons.
https://github.com/kyrczak/clustering-algorithms-analysis
ai artificial-intelligence clustering clustering-algorithm python
Last synced: 9 months ago
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Clustering Algorithms Analysis is an artificial intelligence project analyzing data clustering algorithms and comparing their pros and cons.
- Host: GitHub
- URL: https://github.com/kyrczak/clustering-algorithms-analysis
- Owner: kyrczak
- Created: 2023-04-20T10:18:03.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-30T13:08:05.000Z (over 1 year ago)
- Last Synced: 2025-01-05T06:42:03.862Z (11 months ago)
- Topics: ai, artificial-intelligence, clustering, clustering-algorithm, python
- Language: Python
- Homepage:
- Size: 762 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# clustering-algorithms-analysis
Clustering Algorithms Analysis is a an artifical intelligence project with a goal of implementing and analyzing three major data clustering algorithms.
The algorithms used in the project are:
- DB Scan
- K-Means
- hierarchical clustering
For analyzing we have used following data sets:
- [Wine dataset](https://archive.ics.uci.edu/dataset/109/wine)
- [Yeast dataset](https://archive.ics.uci.edu/dataset/110/yeast)
- [E-coli dataset](https://archive.ics.uci.edu/dataset/39/ecoli)
Libraries used:
- `numpy`
- `sklearn`
- `pandas`
- `matplotlib`
The report containing the analysis of clustring algorithms in polish version is available in `Clustering_Project.pdf` file.