Question
Assume there are only ve data points x1,x2,x3,x4,x5 in a dataset. Pairwise Euclidean distances ( i.e., kxi xjk, for i,j = 1,...,5) for these data
Assume there are only ve data points x1,x2,x3,x4,x5 in a dataset. Pairwise Euclidean distances ( i.e., kxi xjk, for i,j = 1,...,5) for these data points are given in Figure 5. Perform agglomerative using average link hierarchical clustering for the data shown in Figure 5. Start with ve clusters, where, each cluster contains a single point initially. Now at each step, greedily merge two clusters using average link criteria, where average link dis-similarity davg between two clusters R and S is dened as davg(R,S) = averagexR,yS||xy|| That means, at each stage, merge two clusters with minimum davg value among all pairwise clusters. Repeat until you have one cluster left containing all ve points in it. Show your work and show the corresponding dendogram.
4-12 12 4 0-42 2 2 1, 221 103 12345Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started