https://github.com/msikorski93/seed-clustering

Performing basic clustering on a seeds dataset.
https://github.com/msikorski93/seed-clustering

agglomerative clustering dbscan gaussian-mixture-model gmm mini-batch-kmeans scikit-learn seeds

Last synced: 29 days ago
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Performing basic clustering on a seeds dataset.

• Host: GitHub
• URL: https://github.com/msikorski93/seed-clustering
• Owner: msikorski93
• Created: 2023-10-25T19:36:08.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-25T20:05:56.000Z (over 1 year ago)
• Last Synced: 2024-11-11T09:09:35.485Z (3 months ago)
• Topics: agglomerative, clustering, dbscan, gaussian-mixture-model, gmm, mini-batch-kmeans, scikit-learn, seeds
• Language: Jupyter Notebook
• Homepage:
• Size: 929 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Seed-Clustering

![ alt text ](https://img.shields.io/badge/license-MIT-green?style=&logo=)

![ alt text ](https://img.shields.io/badge/Python-3776AB?logo=python&logoColor=fff)

![ alt text ](https://img.shields.io/badge/-Jupyter-F37626?logo=Jupyter&logoColor=white)

![ alt text ](https://img.shields.io/badge/-pandas-150458?logo=Pandas&logoColor=white)

![ alt text ](https://img.shields.io/badge/-SciPy-8CAAE6?logo=SciPy&logoColor=fff)

![ alt text ](https://img.shields.io/badge/-scikit--learn-F7931E?logo=scikitlearn&logoColor=white)

The subject of this repository was to perform basic cluster analysis on a seed dataset. The dataset contains geometrical properties of kernels belonging to three different varieties of wheat. We performed four different clustering approaches and obtained these results:







The agglomerative clustering turned out to be the best choice. DBSCAN had the lowest performance, however it looks more suitable for detecting outliers in datasets.