Dear all, I'm trying to cluster some data using SAX distance that was described in the paper "a symbolic representation of time series with implications for streaming algorithms" http://www.cs.ucr.edu/~eamonn/SAX.pdf Once I have my data in matrix format, which function can I use to compute the dissimilarity matrix? There are several ones to compute the distance between two SAX data series diss.MINDIST.SAX(x, y, w, alpha, plot=TRUE) Func.dist(x, y, matrix, n) but it is very slow when I try to fill the matrix with two loops and I really think there should be already any implentation. Do you have any idea? I already convert the data into a series of "a",? "b", "c", ... etc data so I would appreciate either the directo computation of the sax matrix using my raw data OR using the data already converted to SAX format. Thank you for any suggestion! ------ Aurora Gonz?lez Vidal Phd student in Data Analytics for Energy Efficiency Faculty of Computer Sciences University of Murcia @. aurora.gonzalez2 at um.es T. 868 88 7866 www.um.es/ae [[alternative HTML version deleted]]