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2 0 pes ) Scopee we have 4 types of medicines ( training examples ) and each medicin has the hatures as shown in table

20 pes) Scopee we have 4 types of medicines (training examples) and each medicin has the hatures as shown in table below. Our goal is to group these medicines into K= feature 1(x) : weight inde x feature
\table[[1,1],[2,1],[4,3],[5,4]]
Each recicine represents one point with two features (x,Y) as shown in the figure below
Buprose we use medicine A and medicine B as the initial cluster centroids. Let 1 an
Firset iteration:
After bluster assignment step, what will c(n) be for all training examples x(n)?
move centroid step, what will be the coordinate of the centroids, 1 and
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