Hugging Face's logo

karthik-2905
/
ClusteringAlgorithms

Model card Files Community
ClusteringAlgorithms / README_HF.md
karthik-2905's picture
karthik-2905
Upload folder using huggingface_hub
0a26abe verified
preview code
|
raw
history blame contribute delete
1.3 kB
metadata
license: mit

Clustering Algorithms for Customer Segmentation

This repository hosts a project on customer segmentation using various clustering algorithms. It includes the code, a synthetic dataset, trained models, and visualizations.

Project Overview

This project implements and compares the following clustering algorithms for customer segmentation:

  • K-Means
  • Hierarchical Clustering
  • DBSCAN
  • Gaussian Mixture Models (GMM)

The goal is to identify distinct customer groups based on their age and income.

Repository Contents

  • implementation.ipynb: The main Jupyter notebook with the complete analysis.
  • data/customer_data.csv: The synthetic dataset used for clustering.
  • models/: Contains the saved models for each algorithm and the data scaler.
  • results/: Contains detailed analysis and comparison of the algorithms.
  • visualizations/: Includes plots for cluster visualization and analysis.

How to Use

You can use the trained models and the dataset from this repository for your own analysis. To get started, you can clone the repository and explore the implementation.ipynb notebook.

# Clone the repository
git clone https://huggingface.co/karthik-2905/ClusteringAlgorithms

License

This project is licensed under the MIT License.