Description Usage Arguments Value
This function implements balanced K-Means algorithm where the minimum and maximum number of observations in each cluster and the power ratings of each observation are taken as constraints.
1 |
data |
dataset containing numerical columns of observations to be clustered. |
k |
number of output clusters required; default=2. |
standardize |
standardization of observation values required; by default=FALSE. |
max_iter |
maximum iterations to be made for clustering; default=20. |
A dataframe object with Balanced k clusters
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