Uses of Package
pt.tumba.ngram.compression

Packages that use pt.tumba.ngram.compression

pt.tumba.ngram.compression

Implementation of the compression-based classification technique described in the papers "Towards Parameter-Free Data Mining" and "The Similarity Metric", respectivelly by Ming Li and Keogh et al.

Classes in pt.tumba.ngram.compression used by pt.tumba.ngram.compression

ArithCodeModel
Interface for an adaptive statistical model of a stream to be used as a basis for arithmetic coding and decoding.

ArithDecoder
Performs arithmetic decoding, converting bit input into cumulative probability interval output.

ArithEncoder
Performs arithmetic encoding, converting cumulative probability interval input into bit output.

BitInput
Reads input from an underlying input stream a bit at a time.

BitOutput
Writes to an underlying output stream a bit at a time.

ByteBuffer
Stores a queue of bytes in a buffer with a maximum size.

ByteSet
A set of bytes.

ExcludingAdaptiveUnigramModel
Package class for use by the PPMModel.

PPMNode
A node in a depth-bounded suffix tree that represents counts of sequences of bytes.

TestSet
Package local helper class to compute statistics for a set of compression experiments.

TestStatistics
Package local helper class to compute statistics for a single compression experiment.

UniformModel
A singleton uniform distribution byte model.