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Clustering Model Predictor

Description#

Clustering is used to group all similar properties to N groups.

Properties#

Input#

  • Algorithm Type – Select the classification algorithm for model creation. The value can be “KMeans”. k-means algorithm searches for a pre-determined number of clusters within an unlabelled multidimensional dataset.
  • Input Data – Data for predicting values.
  • Model Name – Generated model name for prediction.

Misc#

  • DisplayName – Add a display name to your activity.
  • Private – By default, activity will log the values of your properties inside your workflow. If private is selected, then it stops logging.

Output#

  • Result – Prediction value returned by the specified model.

Example#