It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data.

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Additional Project Details

Programming Language

Perl

Related Categories

Perl Bio-Informatics Software, Perl Statistics Software

Registered

2013-01-19