Apply (k)-means and (k)-medoids to cluster the World Stock Indexes using the Euclidean distance among the standardized
Question:
Apply \(k\)-means and \(k\)-medoids to cluster the World Stock Indexes using the Euclidean distance among the standardized series. Comment on the differences between the clusters found and those obtained in Exercise 1.
Data From Exercise 1:
Consider the World Stock Indexes. Apply a hierarchical clustering using as dissimilarity measure the cross linear dependency. Compare the results obtained with different number of lags in the dissimilarities.
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Statistical Learning For Big Dependent Data
ISBN: 9781119417385
1st Edition
Authors: Daniel Peña, Ruey S. Tsay
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