A k-means clustering algorithm implementation written in Go
k-means clustering algorithm implementation written in Go - muesli/kmeans
A k-means clustering algorithm implementation written in Go launched on May 26, 2018 with 23 votes, #932 of 2,985 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
A k-means clustering algorithm implementation written in Go. This tool is for developers who need to perform clustering tasks in their Go projects. It provides a straightforward way to group data points into k clusters based on similarity. The implementation is available as open-source code on GitHub, making it accessible for integration into various applications that require unsupervised machine learning functionality.
written from the facts on this page · September 2026
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