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Prediction by partial matching
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{{Short description|Data compression technique}} {{More footnotes needed|date=November 2015}} '''Prediction by partial matching''' ('''PPM''') is an adaptive [[statistics|statistical]] [[data compression]] technique based on [[context modeling]] and [[prediction]]. PPM models use a set of previous symbols in the uncompressed symbol stream to predict the next symbol in the stream. PPM algorithms can also be used to cluster data into predicted groupings in [[cluster analysis]].
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