Let's say I am working on handwritten digit recognition (0 to 9). I know for instance that if I use clustering then I need to look for 10 clusters. But once I have the 10 clusters,how do I identify automatically which cluster corresponds to which digit?In general, say I have some other classification task where I don't have the labels for the training data, but I know that there are, lets say, two classes. I want to build a model which can then tell me, for the test instances, which classes they belong to. But again the problem that even if I can group the train cases together, how do I know the actual label of the test instance in this unsupervised setting?
How to identify labels in unsupervised learning?
machine learning;data mining;pattern recognition