🌌 Machine Learning Mini Project

Welcome to the Machine Learning Mini Project repository. This project involves a comparative analysis of various clustering algorithms on SDSS Galaxy Images.

✨ Project Overview

• Comparative Analysis: Performed a comparative analysis of various clustering algorithms on SDSS Galaxy Images.
• Clustering Algorithms Implemented:
  • KMeans Clustering
  • Agglomerative Clustering
  • DBSCAN
  • Gaussian Clustering
• Evaluation: Evaluated all four types of clustering using various evaluation metrics.
• Proposed Model: Proposed the optimal CNN model for clustering SDSS Galaxy Images.
• Recognition: Received the highest grade (10) for this mini project which also got accepted for IEEE Space(SPace, Aerospace and defenCE) Conference 2024. (https://drive.google.com/file/d/1nLLaPXFqKQely7LBwk9Z-5YVmZoTvvd8/view?usp=sharing)
• Group Members: Keshav Pandey, Sumit Das and P.L.V.B. Narayana

📄 Contents

• Code and Report: The repository contains a Jupyter Notebook file (clustering.ipynb) and the project report.