Clustering is used to group all similar properties to N groups.
- 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.
- 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.
- Result – Prediction value returned by the specified model.