### What is Minkowski Distance?

The Minkowski Distance is a general form for computing distances using an Lp norm.

The Minkowski Distance is a general form for computing distances using an Lp norm.

The Manhattan distance, or L1 norm, measures the sum of absolute distance between two vectors.

The Euclidean Distance, or L2 norm, is the most common distance metric used in clustering.

Some common distance metrics are: Euclidean distance, Mahalanobis distance, Manhattan distance, Minkowski distance, Cosine Similarity, Jaccard distance

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