IUnsupervisedLearning Interface |
Namespace: Accord.Neuro.Learning
The IUnsupervisedLearning type exposes the following members.
The interface describes methods, which should be implemented by all unsupervised learning algorithms. Unsupervised learning is such type of learning algorithms, where system's desired output is not known on the learning stage. Given sample input values, it is expected, that system will organize itself in the way to find similarities betweed provided samples.