Module distance 

Distance metrics between vectors (Euclidean, Cosine, Chebyshev, Manhattan, Minkowski, Jaccard, Hamming, Canberra, Bray-Curtis).

Functions

bray_curtis_distance_f32

Bray-Curtis distance: sum(|a_i - b_i|) / sum(|a_i + b_i|)

canberra_distance_f32

Canberra distance: sum(|a_i - b_i| / (|a_i| + |b_i|))

chebyshev_distance_f32

Chebyshev distance: max(|a_i - b_i|)

cosine_distance_f32

Cosine distance: 1 - (a . b) / (||a|| * ||b||)

euclidean_distance_f32

Euclidean distance: sqrt(sum((a_i - b_i)^2))

hamming_distance_f32

Hamming distance between float vectors (count of mismatched elements).

jaccard_distance_f32

Jaccard distance for boolean/binary vectors.

manhattan_distance_f32

Manhattan distance: sum(|a_i - b_i|)

minkowski_distance_f32

Minkowski distance: (sum(|a_i - b_i|^p))^(1/p)