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.
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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.
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Walter Roberson
am 28 Mär. 2022
numclusters = 4;
Initial = numeric matrix that is numclusters x number of columns in YourData
[idx, C] = kmeans(YourData, numclusters, 'Start', initial);
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Sam Chak
am 29 Mär. 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
am 29 Mär. 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
am 29 Mär. 2022
Perhaps you can try the pdist2 method outlined in this link to find the centroids. Hope it helps.
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Sam Chak
am 31 Mär. 2022
Have you successfully estimated the centroids and closed this issue?
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