I am a novice at machine learning, so pardon my ignorance.
I have ~3000 velocity profiles, which consist of multiple layers defined by
a thickness and velocity. My goal is cluster these profiles into ~10
groups with similar characteristics. All of the examples that I have seen
on the scikits-learn website involve simpler datasets, so I am not sure
that solving this is possible with machine learning.
Is this a problem that could be solved with machine learning? Is there an
example or a good reference to look at? Any general recommendations?
Thanks for your help,
Albert
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