Independent Component Analysis

This Component uses Independent Component Analysis to transform given numeric columns and appends the components as new columns to the input table. Additionally, the Component provides the fitted model.

The Component uses the Python Extension to perform the ICA with the Python Class “FastICA: a fast algorithm for Independent Component Analysis” in the sci-kit learn library (https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html).

Input ports

1. Type: Table
   Input table
   The table that contains numeric columns to be analyzed

Output ports

1. Type: Table
   Result table
   The resulting table containing the original columns and the single components.
2. Type: Python
   Pickled Object
   Pickled object that contains the fitted ICA model.