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Clustering Visualization Platform
An academic project providing visual exploration of clustering algorithms with real-time parameter adjustments. Supports K-Means, Hierarchical, and DBSCAN clustering with automated elbow method detection. Features CSV upload and live dataset generation capabilities.
Tech Stack
Core Technologies
StreamlitScikit-learnK-meansHierarchical Clustering
Additional Technologies
NumPyPandasPlotlyDimensionality ReductionData VisualizationMatplotlib
Project Highlights
Key Features
- Interactive visualization
- Multiple algorithm support
- Educational tool
Technical Details
- Built with Streamlit, Scikit-learn, K-means, Hierarchical Clustering
- 6+ supporting technologies
- Category: DATA SCIENCE