Train a Clustering Model in a Data Flow

You train a machine learning model using your existing data to evaluate how accurate the model is in predicting known outcomes.

Train a Clustering model to evaluate how accurately it segregates groups with similar traits and assigns them into clusters. For example, you might assign your costumers into clusters (such as big-spenders, regular spenders and so on) based on their purchasing habits.
Use the Train Clustering step in the data flow editor.
  1. Click Add a step (+), and select Train Clustering.
  2. At the Select Train Clustering Model Script dialog, select a script type, then click OK. For example, you might select Hierarchical Clustering for model training.
  3. Use the on-screen options to configure the script parameters.