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Information bottleneck method

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This is an old revision of this page, as edited by Michael Hardy (talk | contribs) at 00:48, 26 August 2004. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

The information bottleneck method is a technique for finding the best trade-off between accuracy and compression when summarizing (e.g. clustering) a random variable X when given a joint probability distribution between X and an observed variable Y.

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