Data, Python, Machine Learning, Data Science, AI.
"ward.D2") # Cut the tree into 3 clusters clusters <- cutree(hc, k = 3) # Visualize the dendrogram plot(hc, cex = 0.6) rect.hclust(hc, k = 3, border = "red") title("Hierarchical Clustering Dendrogram") First, it calculates the distance between each data point using the “dist” function and saves the