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.
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