This node performs a principal component analysis (PCA) on the given data using the Apache Spark implementation . The input data is projected from its original feature space into a space of (possibly) lower dimension with a minimum of information loss.
- Type: Spark DataSpark DataFrame/RDDInput Spark DataFrame/RDD