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The Clustered Causal State Algorithm: Efficient Pattern Discovery for Lossy Data-Compression Applications

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3 Author(s)
M. Schmiedekamp ; Applied Research Laboratory ; A. Subbu ; S. Phoha

Pattern discovery is a potential boon for data compression, but current approaches are inefficient and produce cumbersome pattern descriptions. The clustered causal state algorithm is a new pattern-discovery algorithm that incorporates recent clustering technology

Published in:

Computing in Science & Engineering  (Volume:8 ,  Issue: 5 )