Last updated: Feb 11, 2025
K-Means is one of the most commonly used clustering algorithms. It clusters data points into a predefined number of clusters. The K-Means-AS node in SPSS Modeler is implemented in Spark.
For more information about k-means algorithms, see Clustering.1
Note: The K-Means-AS node performs one-hot encoding automatically for categorical
variables.
1 "Clustering - RDD-based API." Apache Spark. MLlib: Main Guide. Aug 2024.