K-Means Clustering Intuition: How Groups Are Created
K-Means Clustering
K-Means is one of the simplest clustering algorithms.
How It Works
- Choose number of clusters (K)
- Assign points to nearest centroid
- Update centroids
- Repeat until stable
K-Means is widely used in marketing segmentation and recommendation systems.
Related: Elbow Method
