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.
3 次查看(过去 30 天)
显示 更早的评论
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 个评论
回答(3 个)
Walter Roberson
2022-3-28
numclusters = 4;
Initial = numeric matrix that is numclusters x number of columns in YourData
[idx, C] = kmeans(YourData, numclusters, 'Start', initial);
4 个评论
Sam Chak
2022-3-29
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
2022-3-29
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
2022-3-29
Perhaps you can try the pdist2 method outlined in this link to find the centroids. Hope it helps.
0 个评论
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!