Understanding K-means Clustering with Examples | Edureka

the_iitian_coder on Instagram: "Data finds its own groups with K-Means 📊 Learn Machine Learning step-by-step with The IITIAN Coder 🚀 K-Means is an unsupervised machine learning algorithm used to group similar data points together. First, we decide how many groups (K) we want. The algorithm randomly selects K center points called centroids, then assigns each data point to the nearest centroid. After that, the centroids are updated by taking the average of the points in each group. This process

K-Means Clustering Algorithm: A Detailed Guide

Clustering and k-means | Databricks