Rのclueパッケージを使って、クラスター分析の手法ごとの類似度を調べてみました。 文法: library(clue) Data <- dist(Data) hclust_methods <- c("ward", "single", "complete", "average","mcquitty", "median", "centroid") hclust_results <- lapply(hclust_methods, function(m) hclust(Data,m)) names(hclust_results) <- hclust_methods hens <- cl_ensemble(list = hclust_results) plot(hens, main = names(hens)) #各方法のデンドログラムの出力 round(cl_dissimilarity(hens,
![2010-05-25](https://cdn-ak-scissors.b.st-hatena.com/image/square/06a15c64ba0ceec233d86d71001ebb29a9dcbf5d/height=288;version=1;width=512/https%3A%2F%2Fcdn.blog.st-hatena.com%2Fimages%2Ftheme%2Fog-image-1500.png)