A Gradient Descent VQ Classi cation Algorithm
نویسندگان
چکیده
Vector Quantization (VQ) has its origins in signal processing where it is used for compact, accurate representation of input signals. However, since VQ induces a partitioning of the input space, it can also be used for statistical pattern recognition. In this paper we present a novel gradient descent VQ classi cation algorithm which minimizes the Bayes Risk, which we refer to as the Generalized Bayes Risk VQ (GBRVQ), and compare its performance to other VQ classi cation algorithms.
منابع مشابه
A Gradient Descent Training Algorithm for VQ Classificationy
Vector Quantization (VQ) has its origins in signal processing where it is used for compact, accurate representation of input signals. However, since VQ induces a partitioning of the input space, it can also be used for statistical pattern recognition. In this paper we present a novel gradient descent VQ classiication algorithm (GVQ) which minimizes the Bayes Risk, and compare its performance to...
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