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Copy of Assignment 10.txt

# Copy of Assignment 10.txt - #Assignment#10 Unsupervised...

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#Assignment #10: Unsupervised Learning #Problem 1 #Consider the USArrests data which is part of the base R package (no need to install new package). #Perform hierarchical clustering on the states. #install.packages("reshape2") library(reshape2) library(ISLR) attach(USArrests) #(a) Using hierarchical clustering with complete linkage and Euclidean distance, cluster the states. usar.hc.comp <- hclust(dist(USArrests), method = "complete") plot(usar.hc.comp, main = "Hierarchical Clustering - Complete Linkages", xlab = "", sub = "", cex = 0.9) #(b) Cut the dendrogram at a height that results in three distinct clusters. Which states belong to #which clusters? #Cut dendrogram to three distinct clusters usar.cut = data.frame(cutree(usar.hc.comp, 3)) usar.cut\$States = rownames(usar.cut) rownames(usar.cut) = seq(1, nrow(usar.cut)) names(usar.cut)[1] <- "Clusters" usar.cut\$Clusters <- factor(usar.cut\$Clusters) usar.cut <- dcast(usar.cut, States ~ Clusters) names(usar.cut)[2] = "Cluster 1" names(usar.cut)[3] = "Cluster 2" names(usar.cut)[4] = "Cluster 3" #Output table states/cluster usar.cut

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