Simon has prepared this implementation of “K-Means Clustering” in Processing as a gift for Daniel Shiffman, who is plainning to talk about this Machine Learning model in one of his upcoming live sessions on the Coding Train channel.
Simon writes: K-Means Clustering is a type of Machine Learning Model. It’s for “Unsupervised Learning” (meaning you have data with no labels).
Link to Simon’s code on GitHub: https://github.com/simon-tiger/k-means-clustering
Link to pseudocode by Siraj Raval: https://www.youtube.com/watch?v=9991JlKnFmk&spfreload=1
Geeks out of the box 