Accord.Math.Distances Namespace

Bhattacharyya distance.

Log-likelihood distance between a sample and a statistical distribution.

Angular distance, or the proper distance metric version of Cosine distance.

ArgMax distance (L0) distance.

Bray-Curtis distance.

Canberra distance.

Chebyshev distance.

Cosine distance. For a proper distance metric, see Angular.

Dice dissimilarity.

Dirac distance.

Euclidean distance metric.

Hamming distance.

Hamming distance.

Herlinger distance.

Jaccard (Index) distance.

Jaccard (Index) distance.

Kulczynski dissimilarity.

Levenshtein distance.

Levenshtein distance.

Mahalanobis distance.

Manhattan (also known as Taxicab or L1) distance.

Matching dissimilarity.

The Minkowski distance is a metric in a normed vector space which can be considered as a generalization of both the Euclidean distance and the Manhattan distance.

Modular distance (shortest distance between two marks on a circle).

Pearson Correlation similarity.

Rogers-Tanimoto dissimilarity.

Russel-Rao dissimilarity.

Sokal-Michener dissimilarity.

Sokal-Sneath dissimilarity.

Square-Euclidean distance and similarity. Please note that this distance is not a metric as it doesn't obey the triangle inequality.

Squared Mahalanobis distance.

Weighted Euclidean distance metric.

Weighted Square-Euclidean distance and similarity. Please note that this distance is not a metric as it doesn't obey the triangle inequality.

Yule dissimilarity.

Common interface for distance functions (not necessarily metrics).

Common interface for distance functions (not necessarily metrics).

Common interface for distance functions (not necessarily metrics).

Common interface for Metric distance functions.

Common interface for similarity measures.

Common interface for similarity measures.