TY - INPR A1 - Kreitmeier, Wolfgang T1 - Optimal vector quantization in terms of Wasserstein distance N2 - The optimal quantizer in memory-size constrained vector quantization induces a quantization error which is equal to a Wasserstein distortion. However, for the optimal (Shannon-)entropy constrained quantization error a proof for a similar identity is still missing. Relying on principal results of the optimal mass transportation theory, we will prove that the optimal quantization error is equal to a Wasserstein distance. Since we will state the quantization problem in a very general setting, our approach includes the R\'enyi-$\alpha$-entropy as a complexity constraint, which includes the special case of (Shannon-)entropy constrained $(\alpha = 1)$ and memory-size constrained $(\alpha = 0)$ quantization. Additionally, we will derive for certain distance functions codecell convexity for quantizers with a finite codebook. Using other methods, this regularity in codecell geometry has already been proved earlier by Gy\"{o}rgy and Linder. KW - Maßtheorie KW - Transporttheorie KW - Quantisierung KW - Entropie KW - Wasserstein distance KW - optimal quantization error KW - codecell convexity KW - R\'enyi-$\alpha$-entropy Y1 - 2011 UR - https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/140 UR - https://nbn-resolving.org/urn:nbn:de:bvb:739-opus-22502 N1 - This is a preprint of an article accepted for publication in the Journal of Multivariate Analysis ISSN 0047-259X. The original publication is available at http://www.elsevier.com/. The digital object identifier (DOI) of the definitive article is 10.1016/j.jmva.2011.04.005. ER -