Suppose we cluster a set of N data points using two different using the k-means clustering algorithm runs but with different number of initial clusters centres. Run 1: 4 initial cluster centres - (a,b), (c,d), (e,f) and (g,h). Run 2: 2 initial cluster centres - (a,b), (c,d) Run 3: 3 initial cluster centres - ((a,b), (c,d), (e,f). Would the clusters created using Run 3 be similar to the 2 or 4 initial cluster runs? Explain your answer briefly.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Suppose we cluster a set of N data points using two different using the k-means clustering
algorithm runs but with different number of initial clusters centres.
Run 1: 4 initial cluster centres - (a,b), (c,d), (e,f) and (g,h).
Run 2: 2 initial cluster centres - (a,b), (c,d)
Run 3: 3 initial cluster centres - ((a,b), (c,d), (e,f).
Would the clusters created using Run 3 be similar to the 2 or 4 initial cluster runs? Explain
your answer briefly.

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