PLASTIC ALGORITHM FOR ADAPTIVE VECTOR QUANTIZATION

A plastic algorithm for building vector quantisers adaptively attains a dynamic representation of observed data; an unsupervised version of classical cross-validation rules the algorithm's stopping condition. C ombining plasticity with empirical generalisation-based control yields an adaptive methodology for ve. The paper analyses the method's conve rgence properties and discusses the model's generalisation performance . Experimental results on synthetic and real, complex testbeds support the model's validity.