This talk marks the grand introduction of tidyclust, a new package that provides a tidy unified interface to clustering model within the tidymodels framework.
While tidymodels has been a leap forward in making machine learning methods accessible to a general audience in R, it is currently limited to the realm of supervised learning. tidyclust, by Emil Hvitfeldt and Kelly Bodwin, builds upon the interfaces familiar to tidymodels users to make unsupervised clustering models equally approachable.
Emil Hvitfeldt is a software engineer at RStudio. Part of the tidymodels team's effort to improve R's modeling capabilities. He maintains several packages within the realms of modeling, text analysis and, color palettes. Taught statistical machine learning as an adjunct professor at American University. He and Julia authored the book Supervised Machine Learning for Text Analysis in R.
