Unsupervised Learning is a type of machine learning that acquires insight by inferring a function to describe hidden structures from unlabeled, uncategorized data. The classification or categorization is not included in the training observations. There is consequently no right or wrong evaluation of the learner and no evaluation of the accuracy of the learned insights that is output by the related algorithm used.
On one hand, unsupervised learning algorithms can perform more complex processing tasks than supervised learning systems. On ...
