Machine Learning, Artificial Intelligence, Technology, Python, Data Science.
class The idea behind K-Means is to minimize the within-cluster variation and maximize the between-cluster variation. So, for K-means to partition the observations into K clusters such that the total within-cluster variation, summed over all K clusters, is as small as possible.The motivation behind