mvpa2.clfs.distance¶
Distance functions to be used in kernels and elsewhere
Functions
absmin_distance (a, b) |
Returns dinstance max(|a-b|) XXX There must be better name! XXX Actually, why is it absmin not absmax? |
cartesian_distance (a, b) |
Return Cartesian distance between a and b |
corouge (streamline1, streamline2) |
Mean of the mean min distances. |
mahalanobis_distance (x[, y, w]) |
Calculate Mahalanobis distance of the pairs of points. |
manhattan_distance (a, b) |
Return Manhattan distance between a and b |
mean_min (streamline1, streamline2) |
Basic building block to compute several distances between streamlines. |
one_minus_correlation (X, Y) |
Return one minus the correlation matrix between the rows of two matrices. |
pnorm_w (data1[, data2, weight, p, …]) |
Weighted p-norm between two datasets (pure Python implementation) |
pnorm_w_python (data1[, data2, weight, p, …]) |
Weighted p-norm between two datasets (pure Python implementation) |
squared_euclidean_distance (data1[, data2, …]) |
Compute weighted euclidean distance matrix between two datasets. |