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 González Vidal
Phd student in Data Analytics for Energy Efficiency
Faculty of Computer Sciences
University of Murcia
@. aurora.gonzal...@um.es
T. 868 88 7866
www.um.es/ae
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