Linear Discriminant Analysis Apply

This node applies a Linear Discriminant Analysis (LDA) model to the given input data. This model is most likely the output of a Linear Discriminant Analysis Compute node and can be applied to arbitrary data to reduce its dimensionality.

The column names, however, must correspond to those that have been used to compute the model.

Options

Target dimensions: Number of dimensions to reduce the input data to. This cannot exceed the number of classes minus one or the number of selected columns, depending on which one is smaller.
Remove original data columns: If checked, the columns containing the input data are removed.
Fail if missing values are encountered: If checked, execution fails when the selected columns contain missing values. Otherwise, rows containing missing values are ignored during computation.

Input Ports

: The model used to reduce the data dimensionality.
: Input table containing numeric columns, whose column names match the model.

Output Ports

: The original data (if not excluded) plus columns for the projected dimensions.

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Installation

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

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081535

On NodePit since: 2024-07-09

Last update: 2024-11-15

Tags: Streamable

KNIME versions: Since v4.0

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