How to perform K-medioids clustering with Dynamic Time Warping as a distance measure in RapidMiner?
The idea with Dynamic Time Warping is to perform it on time series of different length. How can I do that in RapidMiner? I get this error message
The data contains missing values which is not allowed for KMediods
How can I cluster time series of different length?
You could fill the missing values with zeroes. The operator Replace Missing Values does this. I don't know the details of your data nor how RapidMiner calculates DTW distances so I therefore can't tell if this approach would yield valid results.
Faced with this, I might use the R extension with the dtw and cluster packages to investigate how distances between different length time series could be used to make clusters. Once you have R working, you can call it from RapidMiner.