replace random data with dataset
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I have this code and I´ve been trying to use a dataset I have instead random numbers, but everytime I try it messes with the code.
k = 5;
numP = 100;
xMax = 50;
yMax = 50;
data = load('data.txt');
xP = data(:, 1);
yP = data(:, 2);
%xP = xMax * rand(1,numP);
%yP = yMax * rand(1,numP);
points = [xP; yP];
[cluster, centr] = kmeans(k, points);
Heres kmeans.m
function [ cluster, centr ] = kmeans( k, P )
numP = size(P,2);
dimP = size(P,1);
randIdx = randperm(numP,k);
centr = P(:,randIdx);
cluster = zeros(1,numP);
clusterPrev = cluster;
iterations = 0;
stop = false;
while stop == false
for idxP = 1:numP
dist = zeros(1,k);
for idxC=1:k
dist(idxC) = norm(P(:,idxP)-centr(:,idxC));
end
[~, clusterP] = min(dist);
cluster(idxP) = clusterP;
end
centr = zeros(dimP,k);
for idxC = 1:k
centr(:,idxC) = mean(P(:,cluster==idxC),2);
end
if clusterPrev==cluster
stop = true;
end
clusterPrev = cluster;
iterations = iterations + 1;
end
end
2 个评论
Image Analyst
2019-4-10
编辑:Image Analyst
2019-4-10
Are you sure it's running your code? There is a built-in kmeans() function if you have the Statistics and Machine Learning Toolbox. Call your function something different, like pablokmeans().
Also explain how your script "messes with the code". I don't see it opening your m-file and doing anything with it so how does the script mess up the code?
Also attach 'data.txt' with the paper clip icon.
回答(1 个)
the cyclist
2019-4-16
My best guess at your error is that your randomly generated data consists of two [1 x numP] row vectors, but when you read your data in from file, they are two [numP x 1] column vectors. So the algorithm thinks there are only two observations with numP dimensions.
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