Add clustering metrics

[kzkadc]

Description: added metrics for evaluating clustering results implemented in scikit-learn:

• silhouette score
• Davies-Bouldin score
• Calinski-Harabasz score

Check list:

• New tests are added (if a new feature is added)
• New doc strings: description and/or example code are in RST format
• Documentation is updated (if required)

[vfdev-5]

Thanks for the PR, @kzkadc !
I left few comments, let me know what you think

[vfdev-5]

@kzkadc can you please also update this metric implementation https://github.com/pytorch/ignite/blob/master/ignite/metrics/precision_recall_curve.py according to the way we are now doing everywhere else (in a separate PR). Thanks!

[kzkadc]

@vfdev-5 could you recheck this PR again?

[vfdev-5]

LGTM, thanks a lot @kzkadc !
Let's see if CI is green to land it.

EDIT:
Unrelated failures with mypy:

+ mypy --config-file mypy.ini
ignite/metrics/fbeta.py:154: error: Unused "type: ignore" comment 
[unused-ignore]
                output_transform=(lambda x: x) if output_transform is None...
                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~...
ignite/metrics/fbeta.py:163: error: Unused "type: ignore" comment 
[unused-ignore]
                output_transform=(lambda x: x) if output_transform is None...
                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~...
ignite/handlers/time_profilers.py:420: error: Incompatible types in string
interpolation (expression has type "str", placeholder has type "int | float") 
[str-format]
            output_message = """
                             ^
Found 3 errors in 2 files (checked 151 source files)