I need to cluster a matrix which contains zero values. I am clustering three separate sets of 24 values. The first two are non-zero and represent hourly ambient temperature (in K) and electrical demand. The third includes zero values as it represents the hourly amount of solar radiation. At night there is no sun and hence the values are zero.
- Is K-medoids / partitioning around medoids (PAM) appropriate for this kind of data?
- Would shifting all data upwards (for instance by a small value like 0.1 such that no zero values exist anymore) be a solution?