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MA
2010
Springer

Quantization and clustering with Bregman divergences

11 years 10 months ago
Quantization and clustering with Bregman divergences
 This paper deals with the quantization problem of a random variable X taking values in a separable and reexive Banach space, and with the related question of clustering independent random observations distributed as X. To this aim, we use a quantization scheme with a class of distortion measures called Bregman divergences, and provide conditions ensuring the existence of an optimal quantizer and an empirically optimal quantizer. Rates of convergence are also discussed.
Aurélie Fischer
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where MA
Authors Aurélie Fischer
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