Using of DBSCAN model in ELKI: define the cluster of new objects

I'm using the DBSCAN algorithm in ELKI, and once I created my model on the training data, how I can perform the prediction of a cluster, based on this model Clustering<Model> c , for new observation? My initial data is double[][] array, while every new observation is double[] array. I used the example given in this answer and it works perfectly but how I can reuse the Clustering<Model> c on new test data? I have to do my method for prediction myself or there is existing method like "predict" or something else?