Next up @Emil_Hvitfeldt will tell us about tidyclust! (built with @KellyBodwin) #rstudioconf2022 #rstudioconf #rstats 
Tidymodels is consistent, modular, and extensible. So... They extended it to clustering! #rstudioconf2022 #rstudioconf #rstats
Tidymodels is good at the supervised side and with dimension reduction. tidyclust adds clustering. #rstudioconf2022 #rstudioconf #rstats
Tidymodels have outcomes, clearly defined predict, easy to estimate performance
Tidyclust doesn't have outcomes, not clearly defined predict, no clear answer. #rstudioconf2022 #rstudioconf #rstats
Tidyclust doesn't have outcomes, not clearly defined predict, no clear answer. #rstudioconf2022 #rstudioconf #rstats
Had to rewrite a lot of tidymodels pieces to make them work in the tidyclust paradigm. #rstudioconf2022 #rstudioconf #rstats
Example coming up using data about dates (the fruit), data = image properties extracted from photos #rstudioconf2022 #rstudioconf #rstats
Lots of highly correlated variables, also lots that aren't correlated. #rstudioconf2022 #rstudioconf #rstats
Clustering code is very similar to tidymodels. Few new things to learn! #rstudioconf2022 #rstudioconf #rstats
extract_cluster_aasignment to get ids of where things are placed
extract_centroids
predict (for some engines)
#rstudioconf2022 #rstudioconf #rstats
extract_centroids
predict (for some engines)
#rstudioconf2022 #rstudioconf #rstats
Metrics similar to yardstick.
tot_wss() total within sum of square errors
cluster_metric_set() to calculate multiple metrics (like yardstick::metric_set()). #rstudioconf2022 #rstudioconf #rstats
tot_wss() total within sum of square errors
cluster_metric_set() to calculate multiple metrics (like yardstick::metric_set()). #rstudioconf2022 #rstudioconf #rstats
tune_cluster to tune cluster params (like tune_grid, etc, in tune and finetune) #rstudioconf2022 #rstudioconf #rstats
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