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.

Options

Variance upper bound: Choose a variance value here. The higher the value, the more columns are likely to get filtered out. Choose 0 to filter for columns, which only contain one constant value.
Columns to include: This list contains the names of the columns that are considered for filtering. Any other column will be left untouched (i.e. will also be present in the output table independent of their variance). Only double-compatible columns can be selected.

Input Ports

: Numeric input data. (Non-numeric columns will be left untouched.)

Output Ports

: Filtered data.

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Installation

To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.9

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.9.0.v202511140634

On NodePit since: 2025-12-11

Last update: 2025-12-12

Tags: Modern UI

KNIME versions: Since v3.6

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