K Means Clustering Solved Example K Means Clustering Algorithm in Machine Learning by Mahesh Huddar

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K Means Clustering Solved Example K Means Clustering Algorithm in Machine Learning by Mahesh Huddar

Use K Means clustering to cluster the following data into two groups. Assume cluster centroid are m1=4 and m2=11. The distance function used is Euclidean distance. { 2, 4, 10, 12, 3, 20, 30, 11, 25 }

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If both the distance to m1 and m2 are same which cluster do we need to allocate ? To new cluster ?

jeevithasrinivasan

Small clarification : Square and root gets cancel in mathematics .. so the formulea is d(x2, x1) = x2-x1 -- Isn't it ?

ravikolagani

Sema explain sir I have clearly understand TQ sir

ramyakrishnan

Sir what if i get same distances
And to which cluster do i need to assign it

lukeshpraveen

If initial centroids are not given what should l do

praneethboddu

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