yizhe-ang/k-means-explorable
An Explorable Explainer of K-Means Clustering
This interactive tool helps you understand how K-Means clustering works to group similar data points together. You input a dataset with various points, and it visually demonstrates how the algorithm organizes them into distinct clusters. It's designed for anyone new to data analysis or machine learning who wants a clear, step-by-step explanation of this fundamental technique.
133 stars. No commits in the last 6 months.
Use this if you need a visual and interactive way to learn the core mechanics of K-Means clustering without diving into code.
Not ideal if you are an experienced data scientist looking for advanced algorithm implementations or production-ready clustering tools.
Stars
133
Forks
12
Language
Svelte
License
MIT
Category
Last pushed
Aug 17, 2023
Commits (30d)
0
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