There are 1566 nodes that can be used as predessesor
for a node with an input port of type org.knime.core.node.port.AbstractSimplePortObject.
Assigns sizes corresponding to the values of one numeric column.
Assigns shapes to one selected nominal column.
Assigns an existing color model to a table.
Clusters numerical data with SOTA.
Learns a Fuzzy Rule Model on labeled numeric data.
Trains a Probabilistic Neural Network (PNN) on labeled data.
This node computes a transformation model using linear discriminant analysis.
Principal component analysis computation
Principal component analysis computation
Detects and handles outliers for all numerical columns.