K Means Clustering with PySpark hack data

Описание к видео K Means Clustering with PySpark hack data

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.

Github: https://github.com/markumreed/data_sc...
p5.js Collection: https://editor.p5js.org/markumreed/co...
LinkedIn:   / data-science-for-everyone  

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