search for: harabasz

Hello all, I have a set of data points, which I have pair distances for. I managed to create dendrogram for this data set using diana() in R, however this only gives me the tree and not the clusters themselves. I am trying to determine clusters using Calinsky and Harabasz Index (CH Index). I, however, cannot find how to accomplish this using R. Is there anyone who could help me with this? I searched R documentation for implementation of CH index and found some things but not the clustering. Thanks a bunch. Sincerely, Arif.

...E, metric = "euclidean", stand = TRUE, method = "ward", keep.diss =TRUE, keep.data = TRUE) Now I am wondering if someone can point me in the right direction with the following: 1. 1. How do I determine the number of clusters? I would like to apply the Calinkski and Harabasz (1974) stopping rule recommended in the Monte Carlo Simulation by Milligan and Cooper (1985). 2. 2. How do I obtain the clustering rules? (I.e. how do I assign my observations to the cluster from my final solution?). I was able to find the Package ‘clusterSim’ which Calculates Calinski-H...

Dear All: I am a newbie to R and as such i am posting this request for help. I am trying to use R to compute the "Calinski Harabasz (CH) Index ". The CH Index is available in the library SAGx. The version of R i am running is 2.2.1. I have my data in a CSV format which i read into R using the read.table() command. After the data has been read i am loading in the "SAGx" and "MASS" libraries. Accor...

Hi, I was wondering what the best equivalent to SAS's FASTCLUS and PROC CLUSTER would be. I need to be able to test the significance of the clusters by comparing the probability of obtaining an equal or greater pseudo F to the Bonferroni-corrected level. I will also need to plot r squared against the number of clusters. Thanks so much, Taisa [[alternative HTML version deleted]]

Hello devs. I would like to propose how I plan to go about improving and getting a system that can be integrated into Xapian in this GSoC for the clustering branch. I have identified three areas of work which were not touched last time. 1) Automated Performance Analysis I had roughly implemented 2 evaluation techniques previously (Distance b/w document and centroids within clusters and

Hello all, I am using the clustering functions in R in order to work with large masses of binary time series data, however the clustering functions do not seem able to fit this size of practical problem. Library 'hclust' is good (though it may be sub par for this size of problem, thus doubly poor for this application) in that I do not want to make assumptions about the number of