Low Variance Filter

Filters out double-compatible columns, whose variance is below a user defined threshold. Columns with low variance are likely to distract certain learning algorithms (in particular those which are distance based) and are therefore better removed.

Note, the input table should not be normalized with a Gaussian normalization or any other normalization technique which changes the variances of the input.

Input ports

1. Type: Table
   Input data
   Numeric input data. (Non-numeric columns will be left untouched.)

Output ports

1. Type: Table
   Filtered data
   Filtered data.