The area of machine learning in which an agent learns from interaction with its environment, rather than from a knowledgeable teacher that specifies the action the agent should take in any given state.
Specific type of a learning algorithm, especially for self-organizing neural nets. Unlike supervised learning, no target patterns exist.
Learning without a priori knowledge of input samples
Learning techniques that group instances without a pre-specified dependent attribute. Clustering algorithms are usually unsupervised.
refers to: neural net, learning algorithm A specific type of a learning algorithm, especially for selforganizing neural nets like the Kohonen Feature Map. Unlike supervised learning, no target patterns exist. see also: supervised learning, selforganization
Unsupervised learning is a method of machine learning where a model is fit to observations. It is distinguished from supervised learning by the fact that there is no a priori output. In unsupervised learning, a data set of input objects is gathered.