https://github.com/mehradi-github/ref-jupyter-clustering-analysis

Comparing K_Means and Complete Linkage in SSE and accuracy_score
https://github.com/mehradi-github/ref-jupyter-clustering-analysis

Last synced: 3 months ago
JSON representation

Comparing K_Means and Complete Linkage in SSE and accuracy_score

• Host: GitHub
• URL: https://github.com/mehradi-github/ref-jupyter-clustering-analysis
• Owner: mehradi-github
• Created: 2025-11-30T06:57:53.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-11-30T18:27:53.000Z (7 months ago)
• Last Synced: 2025-12-02T19:49:11.705Z (7 months ago)
• Language: Jupyter Notebook
• Size: 484 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Jupyter clustering analysis

The analysis compares the K-Means clustering algorithm with the Complete Linkage hierarchical clustering method by evaluating both approaches using two key performance metrics: Sum of Squared Errors (SSE), which measures within-cluster compactness, and accuracy_score, which assesses how well the clustering results match the true labels.

![Plot1](./results/Plot1.png)

![Plot2](./results/Plot2.png)

![Result](./results/Result.png)