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K-Means-AS node

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.

See K-Means Algorithms for more details.1

Note that the K-Means-AS node performs one-hot encoding automatically for categorical variables.

1 "Clustering." Apache Spark. MLlib: Main Guide. Web. 3 Oct 2017.