Spark PCA

This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementSpark PCA

This node utilizes the Apache Spark Principal component analysis (PCA) implementation.

Options

Number of components
The number of top principal components to compute.
Feature Columns
The feature columns to use during computation. Supports only numeric columns.

Input Ports

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Input Spark DataFrame/RDD

Output Ports

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The input DataFrame/RDD projected onto the principal components.
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The principal component matrix.

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Links

Developers

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Installation

To use this node in KNIME, install the extension KNIME Extension for Apache Spark (legacy) 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.v202411151159
On NodePit since: 2024-12-06
Last update: 2024-12-18
Tags: Deprecated
KNIME versions: Since v4.2

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