I want to make 4 clusters using k mean clustering and for each of the 4 clusters i want to set centroid initially and then accordingly make the cluster. how can I.
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I want to make 4 clusters using k mean clustering and for each of the 4 clusters i want to set centroid initially and then accordingly make the cluster. how can I.
0 commentaires
Réponses (3)
Walter Roberson
le 28 Mar 2022
numclusters = 4;
Initial = numeric matrix that is numclusters x number of columns in YourData
[idx, C] = kmeans(YourData, numclusters, 'Start', initial);
4 commentaires
Sam Chak
le 29 Mar 2022
Guess @Maimoona Asad wants to 'estimate' 4 centroids for the given set of data, probably because she does not have a clear idea how many clusters there should be.
The centroid estimations are intended to indicate the mean locations of the clusters, even though this initial guess for the cluster centers may be inaccurate.
With the initial cluster centers, then she can apply the k-means clustering technique as you suggested.
Walter Roberson
le 29 Mar 2022
The 'Start' option has several possibilities to estimate cluster centers in different ways; https://www.mathworks.com/help/stats/kmeans.html#buefs04-Start
Sam Chak
le 29 Mar 2022
Perhaps you can try the pdist2 method outlined in this link to find the centroids. Hope it helps.
0 commentaires
Sam Chak
le 31 Mar 2022
Have you successfully estimated the centroids and closed this issue?
0 commentaires
Voir également
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!