1676 kmeans spectral

[k034b363]

Describe your changes
This PR adds the option to use hyperspectral images as input for kmeans clustering. It has been suggested that using more bands might help distinguish plant features that are otherwise difficult to tell apart.

Type of update
Is this a:

• New feature or feature enhancement

Associated issues
Closes #1682 and #1676

For the reviewer
See this page for instructions on how to review the pull request.

• PR functionality reviewed in a Jupyter Notebook
• All tests pass
• Test coverage remains 100%
• Documentation tested
• New documentation pages added to plantcv/mkdocs.yml
• Changes to function input/output signatures added to updating.md
• Code reviewed
• PR approved

[deepsource-io]

Here's the code health analysis summary for commits a3a0eab..dc2b623. View details on DeepSource ↗.

Analysis Summary

Analyzer	Status	Summary	Link
Python	✅ Success	🎯 1 occurence resolved	View Check ↗
Test coverage	❌ Failure	❗ 3 occurences introduced 🚨 1 failing metric	View Check ↗

Code Coverage Report

Metric	Aggregate	Python
Branch Coverage	100%	100%
Composite Coverage	99.9% (down 0.1% from main)	99.9% (down 0.1% from main)
Line Coverage	99.9% (down 0.1% from main)	99.9% (down 0.1% from main)
New Branch Coverage	100%	100%
New Composite Coverage	96.7%	96.7%
New Line Coverage	96.7%, ❌ Below Threshold	96.7%, ❌ Below Threshold

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[joshqsumner]

I merged some stuff into this to be downstream of image-sharpening where I had split params and outputs into a _globals module to define singletons with less chance for import complaints which also points this at v5.