R Script Hierarchical K Means

This R script explores hierarchical and k-means clustering techniques. In Question 1, clustering

is applied to a small custom dataset, using both single-linkage hierarchical clustering and

k-means with varying cluster counts (k = 2, 3, 5). A dendrogram is plotted to visualize the

hierarchical clustering. In Question 2, clustering is applied to the Smarket dataset from the ISLR

package, focusing on lagged market returns and volume data. The script computes the distance

matrix, performs hierarchical clustering with a single linkage, and applies k-means clustering to

the training set with different values of k (2, 3, 5), demonstrating how clustering behaves with

financial market data.