Given be a set of signals (e.g. images) coming from one or more sources (e.g. different types of cameras) is it possible to find out, which signals come from which source?
I consider this question very relevant for the pre processing step of data, for example medical data. Assuming a data set was generated by only one machine is very naive and may ultimately used in the pratice.
Therefore I am looking for material to work through, that would allow me to tackle this problem, for example by finding an above described clustering algorithm.
Thus far I found a method identifiying camera models, namly here: K-unknown models detection through clustering in blind source camera identification.
However, I am more interested in the medical use cases of sources like x-ray, ultrasound etc., thus I would be very thankful for someone pointing me into the right direction.