A number of learning algorithms aim at exploring superior representations with the inputs furnished throughout training.[sixty one] Classic examples include principal element analysis and cluster analysis. Characteristic learning algorithms, also referred to as representation learning algorithms, typically try to maintain the knowledge in their ent