K-Means Clustering Algorithm: A Detailed Guide
K-Means Clustering Algorithm: A Detailed Guide
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AI • Machine Learning • Tech on Instagram: "One of the most common ML interview questions is how to implement k-means clustering from scratch. What is k-means? Simply put, it’s an unsupervised clustering algorithm that groups data into k clusters, where k is a hyperparameter we select. The algorithm has the following steps: Initialize k centroids, Assign each data point to the nearest centroid, Update centroids to the mean of the assigned points, Repeat until convergence. Want to Learn Machine L
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