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Does MLlib provide utility functions to do this kind of encoding?
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I see. So, basically, kind of like dummy variables like with regressions.
Thanks, Sean.
On Jul 11, 2014, at 10:11 AM, Sean Owen wrote:
> Since you can't define your own distance function, you will need to
> convert these to numeric dimensions. 1-of-n encoding can work OK,
> depending on your
Since you can't define your own distance function, you will need to
convert these to numeric dimensions. 1-of-n encoding can work OK,
depending on your use case. So a dimension that takes on 3 categorical
values, becomes 3 dimensions, of which all are 0 except one that has
value 1.
On Fri, Jul 11,
Hi Folks,
Does any one have experience or recommendations on incorporating categorical
features (attributes) into k-means clustering in Spark? In other words, I want
to cluster on a set of attributes that include categorical variables.
I know I could probably implement some custom code to pars
