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Clusplot Legend, ) in the Axes or figures. clus <- kmea

Clusplot Legend, ) in the Axes or figures. clus <- kmeans(data, centers = 5) plotcluster clusplot(data, km$cluster, color=TRUE, shade=T, lines=0) I do not understand what the "component 1" and "component 2" in the graph are. The ellipses are based on the average and the covariance matrix of each cluster, and their size is The default clusplot function, which is part of the cluster package, is designed to give you a 2D representation of your clusters. They will represent the data in a bivariate plot. Legend Demo # There are many ways to create and customize legends in Matplotlib. These functions are data reduction techniques. Read now! I'm using clusplot () function from cluster package, but when the function is called in R Studio it always shows a sort of interactive point locator (that I couldn't figure out still if it is useful at all) with the R/plotpart. Even in Fig. object agriculture animals bannerplot chorSub clara clara. I'm using 14 variables to run K-means What is a pretty way to plot the results of K-means? Are there any existing The CLUSPLOT display is then the bivariate plot of the objects relative to the rst two principal components, and the clusters are again represented as ellipses.

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