The cosine distance compares the feature vectors of two images by returning
the cosine of the angle between two vectors. Other cosine- and angle-based measures
are here presented, including Tanimoto dissimilarity and Jaccard index, together with
other correlations; they have been employed in algorithms relying on PCA, ICA, NN,
and Gabor wavelets, especially on bi-dimensional facial data. Only correlation
coefficients have been applied on three-dimensional point clouds.
Keywords: Angle distance, cosine distance, cosine similarity measure, Pearson
correlation, Tanimoto dissimilarity, Jaccard index.
