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Introduction to k-Means Clustering with Python

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Introduction to k-Means Clustering with Python

🔦 What is k-Means? k-Means is an iterative, unsupervised machine learning algorithm used to partition a dataset into k distinct, non-overlapping subgroups (clusters). It works by first assigning each data point to the nearest cluster center (centroid) based on distance, and then updating that centroid to be the mathematical mean of all ...

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