Many learning algorithms purpose at identifying much better representations in the inputs delivered for the duration of training.[61] Typical examples include principal element analysis and cluster analysis. Characteristic learning algorithms, also known as illustration learning algorithms, frequently make an effort to preserve the knowledge within