33 rivejä
905 B
Matlab

function [neighbors, distances] = recursiveKNN(C, Q, k, m)
% Recursive break, call knnsearch
if size(C, 1) <= 1000 || size(Q, 1) <= 500 % Adjastable limit
[neighbors, distances] = knnsearch(C, Q, 'K', k);
return;
end
% Divide into subsets
midC = floor(size(C, 1) / 2);
midQ = floor(size(Q, 1) / 2);
C1 = C(1:midC, :);
C2 = C(midC+1:end, :);
Q1 = Q(1:midQ, :);
Q2 = Q(midQ+1:end, :);
% Recursive calls
[N1_1, D1_1] = recursiveKNN(C1, Q1, k, m);
[N1_2, D1_2] = recursiveKNN(C2, Q1, k, m);
[N2_1, D2_1] = recursiveKNN(C1, Q2, k, m);
[N2_2, D2_2] = recursiveKNN(C2, Q2, k, m);
% Merge
[N1, D1] = mergeResultsWithM(N1_1, D1_1, N1_2, D1_2, C1, C2, k, m);
[N2, D2] = mergeResultsWithM(N2_1, D2_1, N2_2, D2_2, C1, C2, k, m);
% Combine results for Q1 and Q2
neighbors = [N1; N2];
distances = [D1; D2];
end