Distance Metrics

What is Distance Metrics?

Distance metrics (Euclidean, Manhattan, Minkowski) define how 'close' two data points are, which is the foundation for algorithms like KNN and K-Means.

Where did the term "Distance Metrics" come from?

The geometry of learning.

How is "Distance Metrics" used today?

Critical choice in clustering and vector search.

Related Terms

• KNN (K-Nearest Neighbors)
• Vector Embeddings