Linear Discriminant Analysis Compute

This node performs Linear Discriminant Analysis (LDA) which is a dimensionality reduction technique. It takes class information into account in order to project the data into a space in which classes are well separated. The results are similar to Principle Component Analysis (PCA) and may be used in subsequent classification.

Options

Class column: Column containing class information.
Column selection: Columns containing the input data.
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

: Input table containing numeric columns and one column with class information.

Output Ports

: The intra-class scatter matrix.
: The inter-class scatter matrix.
: Table containing the spectral decomposition. Rows are in descending order according to eigenvalues (first column).
: Model holding the LDA transformation used by the Linear Discriminant Analysis Apply node to apply the transformation to, e.g. another validation set.

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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:

v5.2

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.2.0.v202311231052

On NodePit since: 2023-12-06

Last update: 2024-04-15

KNIME versions: Since v4.0

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