Description Usage Arguments Value
This function takes in a data table and a desired number of features in a cluster. This function will filter only numerical features first and cluster them with randomly picked numerical features. the final data table will have added clustered id's and distance to centroids added
1 | fe_cluster(DT, test, predInClust = 5)
|
a |
train data table |
a |
test data table |
number |
of k in kmeans clustering |
a list with finished two data tables
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