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in this video I will discuss algomerative hierarchical clustering algorithm with the complete linkage in this case we have been given one dimensional data set with values 1 5 8 10 and 2. we need to use algomerative clustering algorithm with the complete linkage along with the euclidean distance and then we need to form the Clusters over here at the same time we need to identify how many number of clusters we will get if you set the threshold as 5 in this particular case now if you want to use uh algomerative hierarchical clustering algorithm the very first thing what is required is we need to identify the the distance between the data points over here in this case we have been asked to use euclidean distance formula let us assume that there are two points P1 is containing X1 y1 and V2 containing X2 Y2 the distance between those two points is always given by the square root of x 2 minus x 1 bracket square plus y two minus y 1 bracket Square in this case but because we have been given t
