KNFST Novelty Scorer

Scores the novelty of test instances based on a KNFST-model from a KNFST Learner node. The corresponding source code is a Java adaption of the Matlab code provided by Bodesheim et al. for their paper "Kernel Null Space Methods for Novelty Detection".

Options

Append Novelty Scores: Check to append Novelty Scores
Normalize Novelty Score: Check to normalize Novelty Scores by dividing them by the minimum distance between target points.
Append Nullspace Coordinates: Check this to append the coordinates in the nullspace. This can be used to visualize the nullspace.

Input Ports

: KNFST model
: Test Data

Output Ports

: Novelty Scores

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Installation

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

v5.4

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.4.0.v202407231408

On NodePit since: 2024-12-06

Last update: 2024-12-17

KNIME versions: Since v5.2

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