Portfolio Details

Project information

  • Category: Data Mining, Clustering, K-Means, K-Medoids, Silhouette Coefficient, Silhouette Score, Streamlit, Python
  • Project date: 2024
  • Project URL: App | Notion | Github

Developed a web-based application for data clustering using K-Means and K-Medoids algorithms. Integrated Silhouette Coefficient for optimal cluster determination. The app processes .csv datasets and provides outputs including Exploratory Data Analysis, preprocessing results, Silhouette Coefficient scores, and clustering results. Built using the Rational Unified Process (RUP).