different outputs for same input in every run

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Hamid
Hamid 2022-8-4
评论： Hamid 2022-8-4
Dear all,
I am using fitcknn function and I expect a 8*2 matrix to be the output (detected varialble). But sometime the output is correct and other times not. I used fixed rand number seed and clear all variables before every run but it does not work.
Any idea what is the problem of my code? Many thanks in advance.
clear all;
data = load('data.mat').data;
%%%%%%%%%
find_kmeans=kmeans(data(:,1),2);
data_2=table(data(:,1),find_kmeans(:));
data_2.Properties.VariableNames = ["counts", "detect"];
Mdl=fitcknn(data_2,'detect');
Mdl.NumNeighbors=1;
test_data=data(:,1);
pred=predict(Mdl,test_data);
wanted_points=(find (pred==2));
wanted_points_cnts= data(wanted_points,1);
detected=table(wanted_points(:),wanted_points_cnts(:));
scatter(wanted_points,wanted_points_cnts)
  2 个评论
Walter Roberson
Walter Roberson 2022-8-4
I do not see a fixed random number seed?
Reminder: kmeans() does random initialization, so you would need to set the seed before the kmeans call.
Hamid
Hamid 2022-8-4
@Walter Roberson Many thanks for the useful comment. I removed it here and maybe the line I wrote my randon seed was wrong.

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采纳的回答

KSSV
KSSV 2022-8-4
%%%%%%%%%
rng(1)
find_kmeans=kmeans(data(:,1),2);
data_2=table(data(:,1),find_kmeans(:));
data_2.Properties.VariableNames = ["counts", "detect"];
Mdl=fitcknn(data_2,'detect');
Mdl.NumNeighbors=1;
test_data=data(:,1);
pred=predict(Mdl,test_data);
wanted_points=(find (pred==2));
wanted_points_cnts= data(wanted_points,1);
detected=table(wanted_points(:),wanted_points_cnts(:));
scatter(wanted_points,wanted_points_cnts)
drawnow

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