Analysis reveals quantization errors for uniform distributions on connected and disconnected segments, suggesting optimal methods for mixed distributions.
In this paper, we have studied various mixed distributions generated by two uniform distributions: first, where the supports are two connected line segments, and second, where the supports are two disconnected line segments. For these mixed distributions, we have determined the optimal sets of n -means and the corresponding n th quantization errors for all positive integers n . The methods developed in this paper can be applied more generally to investigate optimal quantization for any mixed distribution P:= pP₁ + (1 - p)P₂, P : = p P 1 + ( 1 - p ) P 2 , where P₁ P 1 and P₂ P 2 are arbitrary probability distributions supported on either connected or disconnected line segments, and $$(p, 1 - p)$$ ( p , 1 - p ) is any probability vector with $$0< p < 1$$ 0 < p < 1 .
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Barua et al. (2025) studied this question.
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