Spark Cluster Assigner


This node assigns new data to an existing set of prototypes, which are obtained e.g. by a k-means clustering. Each data point is assigned to its nearest prototype.

Input Ports

  1. Type: Spark Model MLlib Prototype model
  2. Type: Spark Data Spark DataFrame/RDD containing the input data that will be assigned to the prototypes

Output Ports

  1. Type: Spark Data Input data assigned to cluster prototypes

Find here

Tools & Services > Apache Spark > Mining > Clustering

Make sure to have this extension installed:

KNIME Extension for Apache Spark

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

How to install extensions