Clustering: Practice - Agglomerative Clustering
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Clustering: Practice - Agglomerative Clustering
Dr. Chirag Shah, PhD, explains how to use R to create clusters with the bottom-up, agglomerative approach. Clusters are created, visualized, and reduced in complexity to get meaningful results using the "agnes()" and the "as.dendogram()" functions.
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SOLVED: Question 3Suppose we have four data points: A, B, C, and D.Apply agglomerative hierarchical clustering using single-linkage (minimum distance) to cluster these 4 data points. Show the dendrograms.If we want to have 3 clusters, what are the final three clusters?The distance matrix based on the Euclidean distance is given below:A 0B 1 0C 4 2 0D 5 6 3 0
SOLVED: Question 3Suppose we have four data points: A, B, C, and D.Apply agglomerative hierarchical clustering using single-linkage (minimum distance) to cluster these 4 data points. Show the dendrograms.If we want to have 3 clusters, what are the final three clusters?The distance matrix based on the Euclidean distance is given below:A 0B 1 0C 4 2 0D 5 6 3 0
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