lettier/interactivekmeans
Interactive HTML canvas based implementation of k-means.
This tool helps you explore and understand how the k-means clustering algorithm works by letting you visually interact with data points. You input data points by clicking or scattering them on a canvas, set the number of clusters you want, and then see how the algorithm groups your points. It's designed for anyone learning about or wanting to quickly experiment with data clustering.
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Use this if you need an interactive way to visualize and experiment with data clustering to understand how k-means groups data points based on their proximity.
Not ideal if you need to cluster large, real-world datasets or require advanced statistical analysis beyond basic k-means visualization.
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Language
JavaScript
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Last pushed
Mar 24, 2018
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