Re: [R] Dissimilarity matrix and number clusters determination

Dear Michael, Yes, AFAIK you are correctly reading the results. You can print elbow.obj$k to obtain the optimal number of clusters, and ‘visually’ you can check it plotting the variance vs #clusters plot(css.obj$k, css.obj$ev) HTH Best, Luisfo Chiroque PhD Student IMDEA Networks Institute http:

[R] Dissimilarity matrix and number clusters determination

Hi, I already have a dissimilarity matrix and I am submitting the results to the elbow.obj method to get an optimal number of clusters. Am I reading the below output correctly that I should have 17 clusters? code: top150 <- sampleset[1:150,] {cluster1 <- daisy(top150 , metric