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I have just started with Rapid miner and have a very specific dataset. Three columns, representing distance between pairs of points over time. It is about locations of facial expression points, so the three signals may or may not depend on each other. The time is the same for all three, but can differ between samples - sample1 can represent an expression with duration 60 (so 60 rows), sample2 can have 400.
Question: is there a function in RM that deals with this type of time series? I could not find any.
Also, my classes are special. They are not all distinct. They correspond to different emotions, but some are closer than others - I have 'anger', but also 'pain seen' and 'pain felt'. There is a certain level of hierarchy, but not quite - for example, it is unclear whether to file 'considerate agree' under category 'agree' or 'thinking'.
Question: are there tools that deal with such ambiguous hierarchies? A normal hierarchy induction will not work for me.
Currently, I have decomposed each of the obscure labels into a fingerprint on 4 different dimensions. The dimensions are of different importance, for example, D1 is way more necessarry for distinction than D3.
Question: can you set priorities so with the tool?
I thank you in advance,