Information bottleneck method
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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.
See also
External links
- Paper by N. Tishby, et. al (http://citeseer.ist.psu.edu/tishby99information.html)