Step $8\mathrm{.}6$ Question: How RapidMiner $($RM$)$ and Tableau perform k$-$means clustering differently? Choose all that apply.

A$.$ RM requires you to generate scatterplots before clustering, while Tableau does not.

B$.$ Tableau automatically scales your data with normalization in clustering, while RM asks you to choose whether and how to normalize your data.

C$.$ RM generates a new attribute to denote the cluster of each record, but Tableau cannot.

D$.$ Tableau requires you to generate scatterplots before clustering, while RM does not.

E$.$ RM automatically chooses an optimal k value, while Tableau asks you to predefine k$.$

F$.$ RM quickly generates K$-$means clustering, while Tableau requires predefined settings.

G$.$ Tableau automatically chooses an optimal k value, while RM asks you to predefine k$.$

H$.$ Tableau quickly generates K$-$means clustering, while RM requires predefined settings.