How can the data be accurately clustered?
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Greetings, I possess a dataset labeled as "Data," which encompasses four columns. Following this, I have employed the K-means algorithm to generate clusters, assigning the Cluster Value 6 to the variable "clusters" in the respective cells. Nevertheless, it has come to my attention that certain values within these clusters are inaccurately assigned to other clusters.
I am in need of guidance regarding the reassignment of clusters utilizing a specific algorithm. The ground truth is depicted in the attached image. I would greatly appreciate assistance with this endeavor.
disp('Calculating Centroid')
K=6;
[idx,C,sumdist] = kmeans(Data,K,'Display','final');
dataset=Data;
dataset_idx=zeros(length(dataset),5);
dataset_idx=dataset(:,1:4);
dataset_idx(:,5)=idx;
clusters = cell(K,1);
for i = 1:K
clusters{i} = dataset_idx(dataset_idx(:,5) == i,:);
end
cluster_assignments=idx;
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