Tag: K-Means use cases

K-Means Clustering Purpose: K-means is an unsupervised learning algorithm used for clustering data into a predefined number of clusters (k). How It Works: Initialization: Select k initial cluster centroids randomly. Assignment: Assign each data point to the nearest cluster centroid. Update: Recalculate the centroids of the clusters based on the assigned data points. Iterate: Repeat…