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how to get performance than k-Means Clustering?
I have a problem. I want to use performance after k-Means Clustering. For this aim I must to use map clustering on labels after clustering and when I run this project I saw an error and I must to changing the number of K, while I am not allowed to change the number of K because I am doing thesis and it not possible for me. Is there any solution for this problem? look at the picture please.
In the second step I thought I might be able to use sample to solve this problem but I saw an error abut sample size. I don't know what is the best sample size in this way? Is this method correct? look at the picture please( the sample size is 100 in this picture).
Thank you for your attention.