Prototype methods

Not to be confused with methods of making prototypes.

Prototype methods are machine learning methods that use data prototypes. A data prototype is a data value that reflects other values in its class, e.g., the centroid in a K-means clustering problem.

Methods

The following are some prototype methods

• K-means clustering
• Learning vector quantization (LVQ)
• Gaussian mixtures

Related Methods

While K-nearest neighbor's does not use prototypes, it is similar to prototype methods like K-means clustering.