Yanza/custom useful clusters

[yanzastro]

This PR adds a parameter to the somoclu summarizer so that the user can customize which clusters are calibrated. This function is useful when we do quality control by ignoring "bad clusters".

Change Description

• My PR includes a link to the issue that I am addressing

Solution Description

Code Quality

• X I have read the Contribution Guide
• X My code follows the code style of this project
• X My code builds (or compiles) cleanly without any errors or warnings
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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (c882a58) 100.00% compared to head (72517a5) 100.00%.

Additional details and impacted files

@@            Coverage Diff            @@
##              main        #7   +/-   ##
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  Coverage   100.00%   100.00%           
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  Files            2         2           
  Lines          319       322    +3     
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+ Hits           319       322    +3     

Files	Coverage Δ
src/rail/estimation/algos/somoclu_som.py	100.00% <100.00%> (ø)

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[aimalz]

I changed this PR to a draft so @yanzastro can separate out the good/bad cluster definition as a Classifier, allowing it to be used as a preprocessing stage for any summarizer.

[joselotl]

Everything looks fine. Sorry for taking so long to do the review

[aimalz]

Thanks for your patience with my review! This looks fine, but I noticed the code for defining bad clusters is still bundled in with the Summarizer rather than separated out as a Classifier that could be used more generically. Is there a reason for this?