00:01
So for iteration 1, we start with individual clusters.
00:07
We identify the highest similarity between clusters, which is 0 .98 between p2 and p5.
00:18
And so we merge p2 and p5.
00:26
For iteration 2, we have the similarity of p2, p5.
00:36
P .i.
00:41
Go to be equal to the maximum between the similarity of p2, pi and b5 pi.
01:03
And so the highest similarity is between p2, p5, p3, and p4.
01:15
So we merge.
01:16
We have p2, p5, p3, p4 and from iteration, 0 .41, we merge the last cluster with p1 and so we have p2 and p5 merge at 0 .98, p2, p5 and p3 merge at 0 .98, p2, p5, and p3, merge...