Impact setting role to
Carlo
New Altair Community Member
Hi Community,
I am asking myself if I set for one attribute the "label"-role when clustering. The only difference I can see is that the attribute does not appear anymore in the results sheets (centroid table, plot).
How does rapidminer takes the "label"-role into account when k-means clustering is performed?
Thanks for your explanations
Best regards,
Carlo
Carlo
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0
Best Answers
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Hi @Carlo ,since you do not need a label for clustering we will handle the label role like any other special role - it is ignored.Best,Martin1
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Hi,
I'm not sure if set role operator is needed when you select Clusters. I used set role for an attribute but when I selected clusters it disappeared. Instead, when I select predict, it gives you the option to select what to you want to predict so you choose a "label".
Furthermore when you want clusters, your dataset is will be splitted based on some criteria generally(some general correlations ) and not on a label.
I don't know if it helps, hope it does. Although I am not sure about my opinion so get others opinions too!
5
Answers
-
Hi @Carlo ,since you do not need a label for clustering we will handle the label role like any other special role - it is ignored.Best,Martin1
-
Hi,
I'm not sure if set role operator is needed when you select Clusters. I used set role for an attribute but when I selected clusters it disappeared. Instead, when I select predict, it gives you the option to select what to you want to predict so you choose a "label".
Furthermore when you want clusters, your dataset is will be splitted based on some criteria generally(some general correlations ) and not on a label.
I don't know if it helps, hope it does. Although I am not sure about my opinion so get others opinions too!
5