aruuunn/clustering-visualizer
Clustering Visualizer is a Web Application for visualizing popular Machine Learning Clustering Algorithms (K-Means, DBSCAN, Mean Shift, etc.).
This web application helps you understand how different data grouping methods work by letting you see them in action. You input a set of data points, and it visually demonstrates how various clustering algorithms organize those points into distinct groups. It's ideal for students, data analysts, or anyone curious about how machine learning categorizes data.
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Use this if you want to visually explore and compare how different data clustering techniques (like K-Means or DBSCAN) would group your data points.
Not ideal if you need to apply clustering to very large datasets or require advanced analytical tools beyond basic visualization.
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Language
TypeScript
License
MIT
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Last pushed
Apr 23, 2024
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