Hi everyone.
I have ~161 time series of heart rates taken during a vocalization. I would like to sort these using the DTW algorithm. I have tried using the following to do this:
[idx,c,sumd,d] = kmedoids(dat,nclust,'Distance',@dtw);
But I end up with the following errors. I have done this before… with the exact same code. Does anyone know what I could be doing wrong?
Error using pdist (line 371)Error evaluating distance function 'dtw'.Error in internal.stats.kmedoidsDistObj/pdist (line 65) out = pdist(X,distObj.distance);Error in kmedoids>precalcDistance (line 575)distVec = distObj.pdist(X);Error in kmedoids>loopBody (line 546) xDist = precalcDistance(X,distObj);Error in kmedoids (line 362)oneRun = loopBody(algorithm,initialize,X,k,distObj,pneighbors,numsamples,options,display,usePool,onlinePhase);Error in dtwclassifier (line 9)[idx,c,sumd,d] = kmedoids(dat,nclust,'Distance',@dtw);Caused by: Error using dtw (line 115) The number of rows between X and Y must be equal when X and Y are matrices
Would it be correct to compute my own distance matrix using DTW, and perform K-Means clustering on that?
Any help would be absolutely amazing! Thank you!
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