Enum DistanceMetric
Distance metrics for measuring similarity between samples.
public enum DistanceMetric
Fields
Chebyshev = 3Chebyshev (L-infinity) distance - maximum absolute difference.
Cosine = 4Cosine distance - angle between feature vectors.
Euclidean = 0Euclidean (L2) distance - straight-line distance.
Manhattan = 1Manhattan (L1) distance - sum of absolute differences.
Minkowski = 2Minkowski distance - generalized form with parameter p.