Prototype-based classifiers in the presence of concept drift: A modelling framework

18 Mar 2019Michael BiehlFthi AbadiChristina GöpfertBarbara Hammer

We present a modelling framework for the investigation of prototype-based classifiers in non-stationary environments. Specifically, we study Learning Vector Quantization (LVQ) systems trained from a stream of high-dimensional, clustered data.We consider standard winner-takes-all updates known as LVQ1... (read more)

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