Histogram classification using vector quantization

Examines a general scheme by which vector quantizer (VQ) design methods can be used to produce a histogram classification rule. Results on histogram classification using data-dependent partitions show that a number of VQ common design methods yield classification rules that are Bayes risk consistent. A new design method that accounts of misclassification errors is also considered.<<ETX>>