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(Solved): 1-Cluster the given data into two clusters using \( \mathrm{k} \) means clust ...



1-Cluster the given data into two clusters using \( \mathrm{k} \) means clustering. Initially mean \( 1=\left[\begin{array}{l???????

1-Cluster the given data into two clusters using \( \mathrm{k} \) means clustering. Initially mean \( 1=\left[\begin{array}{ll}3.50 & 4.25\end{array}\right] \), mean 2= [1.00 0.50]. (Use Euclidean Distance where \( \mathrm{k}=2 \) ). Stop when the means do not change and show the clusters. (25P)


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Given, Optimal value of K =2 Initial mean points of clusters 1 and 2, C1 (3.50,4.25) C2 (1.00,0.50) Use Euclidean distance formula for calculating dis
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