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This is an old revision of this page, as edited by 198.151.130.16 (talk) at 21:46, 1 April 2011 (Use in data compression: new section). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Untitled

also want to see pictures —Preceding unsigned comment added by 138.246.7.74 (talk) 13:50, 15 July 2010 (UTC)[reply]

Damn. This article made me feel dumb. --NoPetrol 06:41, 24 Nov 2004 (UTC)

I have modified the article to give a clear explanation of what vector quantization is, together with some uses for it. It still needs tidying up and referencing Pog 21:46, 1 August 2007 (UTC)[reply]

Unclear sentence

"Find the quantization vector centroid with the smallest <distance-sensitivity>"

What does "<distance-sensitivity>" mean? Does it mean sensitivity? Or does it mean distance minus sensitivity? -Pgan002 00:17, 18 August 2007 (UTC)[reply]

Spam

Why the hell is there a picture of an aeroplane on this page? —Preceding unsigned comment added by Criffer (talkcontribs) 16:24, 11 October 2007 (UTC)[reply]

Definition

Is there a kind of agreed definition on this term? At least [1] attempts to define it. Should Wikipedia adopt this definition? Are there alternative definitions somewhere? Arkadi kagan (talk) 21:11, 25 January 2010 (UTC)[reply]

Another option from [2]:

A data compression technique in which a finite sequence of values is presented as resembling the template (from among the choices available to a given codebook) that minimizes a distortion measure.

Arkadi kagan (talk) 08:38, 28 January 2010 (UTC)[reply]

Use in data compression

"All possible combinations of the N-dimensional vector [y1,y2,...,yn] form the Gaurav."

What the hell is a Gaurav?

Secondly, even if there is a correct technical term for all possible combinations of an N-Dimensional vector, it is completely out of context in that particular article. It should be removed, or correct and given a context.