Problem 2. Given the following unlabelled dataset: x= {x}=1= {23, 52, 29, 37, 46, 47, 32, 25, 49}. (a) 20% Execute the K-centers algorithm with K = 3. The initial centroid is chosen as x(7); show all your iterations. Then, compute the SSE and BSS of the resultant clustering. (b) 20% Execute the K-means algorithm with K = 3, where the initial centroid set is Z = {x, 20, 50} Use no more than 8 iterations; show all your steps. Then, compute the SSE and BSS of the resultant clustering. (c) 20% Calculate the dissimilarity matrix D over X. Thereby, execute the single linkage algorithm. In each iteration, capture (i) the updated dissimilarity matrix and (ii) intermediate clustering results. Then, sketch its corresponding dendrogram.

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Problem 2. Given the following unlabelled dataset:
x= {x}=1= {23, 52, 29, 37, 46, 47, 32, 25, 49}.
(a) 20% Execute the K-centers algorithm with K = 3. The initial centroid is chosen as x(7);
show all your iterations. Then, compute the SSE and BSS of the resultant clustering.
(b) 20% Execute the K-means algorithm with K = 3, where the initial centroid set is
Z = {x, 20, 50}
Use no more than 8 iterations; show all your steps. Then, compute the SSE and BSS of the
resultant clustering.
(c) 20% Calculate the dissimilarity matrix D over X. Thereby, execute the single linkage
algorithm. In each iteration, capture (i) the updated dissimilarity matrix and (ii)
intermediate clustering results. Then, sketch its corresponding dendrogram.
Transcribed Image Text:Problem 2. Given the following unlabelled dataset: x= {x}=1= {23, 52, 29, 37, 46, 47, 32, 25, 49}. (a) 20% Execute the K-centers algorithm with K = 3. The initial centroid is chosen as x(7); show all your iterations. Then, compute the SSE and BSS of the resultant clustering. (b) 20% Execute the K-means algorithm with K = 3, where the initial centroid set is Z = {x, 20, 50} Use no more than 8 iterations; show all your steps. Then, compute the SSE and BSS of the resultant clustering. (c) 20% Calculate the dissimilarity matrix D over X. Thereby, execute the single linkage algorithm. In each iteration, capture (i) the updated dissimilarity matrix and (ii) intermediate clustering results. Then, sketch its corresponding dendrogram.
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