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'The 'Start' matrix must have the same number of columns as X.' - Error when using Kmeans

Asked by BOB
on 22 Jan 2019
I want to carry out an iteration of k-means clustering. I am using the tutorial found at under the heading "Train a k-Means Clustering Algorithm". I am adapting the code for my own dataset:
k = 16
X = DATASET(:,3:6);
[idx,C] = kmeans(X,k);
xlabel('Principal Component 1 (84.01% of Data Variability)')
ylabel('Principal Component 2 (11.33% of Data Variability)')
x1 = min(score(:,1)):0.01:max(score(:,1));
x2 = min(score(:,2)):0.01:max(score(:,2));
[x1G,x2G] = meshgrid(x1,x2);
XGrid = [x1G(:),x2G(:)]; % Defines a fine grid on the plot
idx2Region = kmeans(XGrid,k,'MaxIter',1,'Start',C);
The code works fine until the line:
idx2Region = kmeans(XGrid,3,'MaxIter',1,'Start',C);
where the error "The 'Start' matrix must have the same number of columns as X." is returned. I am not sure what this 'Start' matrix is. My dataset is a 47 x 14 double matrix.
Thanks for any help!


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