Local motifs in a binary symbolization of the time series from software package hctsa
Source: R/compengine.R
motiftwo_entro3.Rd
Coarse-graining is performed. Time-series values above its mean are given 1, and those below the mean are 0.
References
B.D. Fulcher and N.S. Jones. hctsa: A computational framework for automated time-series phenotyping using massive feature extraction. Cell Systems 5, 527 (2017).
B.D. Fulcher, M.A. Little, N.S. Jones Highly comparative time-series analysis: the empirical structure of time series and their methods. J. Roy. Soc. Interface 10, 83 (2013).