Improving classification accuracy on uncertain data by considering multiple subclasses
We study the problem of classification on uncertain objects. We propose a model to classify objects from the same class disconnected by other classes. We add a bound to the model for the purpose of avoiding overfitting. Our model can overcome the limitation of some existing algorithms when a class is divided by other classes.
classification multiple subclasses uncertain objects supervised uk-means