I'm wondering if there are any plans in the works - or even just general brainstorming that has happened - to add unsupervised methods (i.e. clustering and community detection) to the tidymodels framework.
I ask because I'm working on a package implementing one specific community detection method, to go with a forthcoming paper. I'm building it to be as tidymodels-friendly as possible. (Thanks for {hardhat}, by the way!)
But this has also lead me down a rabbit hole of thinking about unified frameworks for clustering. The key decisions for the user to make differ slightly for unsupervised methods as compared to prediction methods. The post-facto validation and "model selection" differ enormously.
The more I plan out my personal package, the I dream of a meta-package exactly like {tidymodels} but tailored for clustering.
Before I hack my way through this specific method I'm working on, or do something silly like launch myself into taking a pass at writing a {tidyclust} implementation - I thought I'd check in with you all and see where things currently stand. 
Thank you!