search for: medioids

...Since we are representing documents as Tf-idf vectors, they are really sparse vectors (a usual corpus can have around 5000 terms). So it gets really difficult to represent these sparse vectors in a way that would be computationally efficient to calculate euclidian distances. I had implemented a K-Medioids algorithm using PAM just to try it out, after modifying the API for whatever more was required, and that seems fine, since we are dealing with document vectors and not arbitrary vectors. But with KMeans, I am not able to figure out how to represent these centroids during each iteration when the ave...

Dear list I have a vector of values that allegedly have a bivariate normal distribution. I want to create a plot that shows the values I have obtained, and the bivariate normal distribution curve for the data. Is there a way of doing this in R? Many thanks for your help, Sarah. --------------------------------- [[alternative HTML version deleted]]