K-means clustering | Machine learning | Python | Deep Matrix

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. #k-means #machine_learning #k-means_clustering