tKMeansModel

Analyzes incoming datasets based on applying the K-Means algorithm.

This component analyzes feature vectors usually pre-processed by tModelEncoder to generate a clustering model that is used by tPredict to cluster given elements.

It generates a clustering model out of this analysis and writes this model either in memory or in a given file system.

In local mode, Apache Spark 1.6.0 and later versions are supported.

For more technologies supported by Talend, see Talend components.