GitHub / shamikaredkar / KMeans-Algorithm-Visualizer
The K-Means Visualizer is an interactive web application designed to help users understand and visualize the K-Means clustering algorithm. Through an intuitive interface, users can experiment with different numbers of data points and clusters, and observe how the algorithm iteratively updates centroids and assigns data points to clusters.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shamikaredkar%2FKMeans-Algorithm-Visualizer
PURL: pkg:github/shamikaredkar/KMeans-Algorithm-Visualizer
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: HTML
Size: 2.34 MB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 3 months ago
Commit Stats
Commits: 8
Authors: 1
Mean commits per author: 8.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/shamikaredkar/KMeans-Algorithm-Visualizer
Topics: bulma, css, html, interactive-visualizations, interactive-webpage, javascript, jquery, kmeans, kmeans-clustering, kmeans-clustering-algorithm, machine-learning, machine-learning-algorithms, ui-design