Assume we train a KMeans model using data X. This will give a set of centroids that can be used to cluster data X* using a Nearest Centroid Classifier.
If we use a density-based model such as DBSCAN to train a model using data X, how can we use it to classify future data X*? Is KNN suitable?
Thanks!