I have relatively little knowledge of unsupervised machine learning.
I'm working on a project that aims to find anomalies in a set of
n data, measured every
x ms, and we have no label on all these data.
So I'm here to ask you which algorithms/approach should be the best?
Edit : I'm working in an industrial context, and my data are sensor readings (temperature, pressure, power consumption, etc.) all from the same equipment.