Kmeans (Initialise centroids)
13 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I have a dataset (X) where i use k means and save the centroids in matrix ( C), then I want to use the same centroids to cluster a different dataset. Can you please tell me the syntax? I know that I have to use 'start' but I am not doing it in a correct way.
0 Kommentare
Antworten (1)
Akira Agata
am 20 Sep. 2019
Like this?
% Apply k-means clustering to data set X (e.g num of classes = 2), and obtain centroids C
numClass = 2;
[cluster,C] = kmeans(X,numClass);
% Calculate distance from each row of new data set X2 and C
d = pdist2(X2,C);
% Cluster the data set X2 based on the distance from the centroids C
[~,cluster2] = min(d,[],2);
2 Kommentare
Akira Agata
am 6 Okt. 2019
I think the same strategy should work. Here is an 5-cluster example :
% Sample data
X = rand(100,2); % dataset1
X2 = rand(100,2); % dataset2
% Apply k-means clustering to dataset1 (e.g num of classes = 5), and obtain centroids C
numClass = 5;
[cluster,C] = kmeans(X,numClass);
% Calculate distance from each row of new dataset (dataset2) against the centroids C
d = pdist2(X2,C);
% Clustering the dataset2 based on the centroids C
[~,cluster2] = min(d,[],2);
% Visualize the result
figure
gscatter(X2(:,1),X2(:,2),cluster2)
Siehe auch
Kategorien
Mehr zu Statistics and Machine Learning Toolbox finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!