How to cluster a dataset having a vector of clustered indeces?
14 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Madina Makhmutova
il 11 Apr 2019
Commentato: Adam Danz
il 15 Apr 2019
Hello,
My question is very primitive, I'm trying to cluster my dataset using k-means and plot clastered data in heatmap.
I've tried to write the following primitive code but I don't understand why it is not working. Could you please help me figure out why my code is not working and what would be the shortest way to do this simple clustering?
Thank you!
n = 3; % specify the number of clusters that you want the dataset to be divided into
data = randi(100,10,9);
clust_idx = kmeans(data,n);
clustered = [];
for j = 1:n
for i = 1:length(clust_idx)
if clust_idx(i)==j, clustered = [clustered, (data(:,i))];
end
end
end
f = figure(1);
fh = heatmap((clustered)','XLabel','Time(min)','YLabel','Cell #','Colormap',jet);
2 Commenti
Adam Danz
il 11 Apr 2019
1) What part of the code isn't working?
2) What does it mean that the code isn't working? Are you getting an error message (if yes, share the entire message)?
The first 3 lines of your code should workfine as long as you're working with decent data. What are the loops for?
Risposta accettata
Adam Danz
il 11 Apr 2019
Modificato: Adam Danz
il 15 Apr 2019
Your data is a matrix of size [10 x 9].
kmeans() identifies the cluster of each row of the matrix so its output will be a vector whose length is equal to the number of rows of your matrix (10 rows).
Your i-loop loops through each row (1:10). But your indexing your data by column: data(:,1). You only have 9 columns so on the last iteration, there's an error.
I think what you meant to write is:
clustered = [clustered; (data(i,:))];
% ^ ^ Note the restructuring.
Now your code works for the [10 x 9] inputs.
2 Commenti
Più risposte (0)
Vedere anche
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!