代码搜索:Distance

找到约 8,736 项符合「Distance」的源代码

代码结果 8,736
www.eeworm.com/read/363304/9960316

hier_info count_distance.hier_info

|count_distance clkin => temp1[0].CLK clkin => temp1[1].CLK clkin => temp1[2].CLK clkin => temp1[3].CLK clkin => temp1[4].CLK clkin => temp1[5].CLK clkin => temp1[6].CLK clkin => temp1[7].CLK
www.eeworm.com/read/166711/10006198

c distance_matrix_mex.c

#include "mex.h" #include #include void Calc(int d, int n, double *X, double *DST) { int i,j,k; double tmp,t2; for (j=0; j
www.eeworm.com/read/360732/10080625

m compute_nn_distance.m

function [D,nn_list] = compute_nn_distance(X,nbr_nn, options) % compute_nn_distance - compute the distance to the nearest neighbors % % [D,nn_list] = compute_nn_distance(X,nbr_nn, options); %
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m compute_distance_to_points.m

function D = compute_distance_to_points(X,seeds) % compute_distance_to_points - compute euclidean distance to a set of points. % % D = compute_distance_to_points(X,seeds) % % 'X' is a [d,n]
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m compute_distance_matrix.m

function D = compute_distance_matrix(X) % compute_distance_matrix - compute pairwise distance matrix. % % D = compute_distance_matrix(X); % % We have D(i,j)=|X(:,i)-X(:,j)|^2. % % Copyr
www.eeworm.com/read/164260/10120774

m l2_distance.m

function d = L2_distance(a,b,df) % L2_DISTANCE - computes Euclidean distance matrix % % E = L2_distance(A,B) % % A - (DxM) matrix % B - (DxN) matrix % df = 1, force diagonals to be zero; 0 (