Clustering in Data Workbench



Hi all, 

     The company I work at is getting Data Workbench and I was reading up on the clustering options in the predictive analytics section and had a few questions on it. 

1. The clustering option uses k-means to partition your data set correct? So why isn't this considered a descriptive analytics option ? Is there some feature that makes predictions for each of these clusters that's not in the documentation

2. A critical part of k-means clustering is normalization what type of normalization goes on when someone uses this product?

Full disclosure I haven't actually used the product yet so I'm sure there are a lot of features that I haven't looked at yet that might warrant  grouping in the clustering tool with the other predictive analytics tools.


       James O'Hagan

Accepted Solutions (1)

Accepted Solutions (1)


Community Manager


Hi James,

1. The clustering feature is part of the predictive workflow made available with Analytics Premium. To your point, it is a descriptive component of that workflow.

2. Users can choose between two normalization methods. Either the Min-Max or the Z-Score technique. The Min-Max method is enabled by default.

I hope that helps.

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