k-means clustering

Questions

What does k-means clustering mean?

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, serving as a prototype of the cluster.

How to pronounce k-means clustering

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