binarize_mean

<p>Converts an input vector into a binarized version from software package <code>hctsa</code></p>

Methods for extracting various features from time series data. The features provided are those from Hyndman, Wang and Laptev (2013) <doi:10.1109/ICDMW.2015.104>, Kang, Hyndman and Smith-Miles (2017) <doi:10.1016/j.ijforecast.2016.09.004> and from Fulcher, Little and Jones (2013) <doi:10.1098/rsif.2013.0048>. Features include spectral entropy, autocorrelations, measures of the strength of seasonality and trend, and so on. Users can also define their own feature functions.

Rob Hyndman

tsfeatures

Time Series Feature Extraction

Yanfei Kang

Pablo Montero-Manso

Thiyanga Talagala

Earo Wang

Yangzhuoran Yang

Mitchell O'Hara-Wild

Souhaib Ben Taieb

Cao Hanqing

D K Lake

Nikolay Laptev

J R Moorman

binarize_mean function

Converts an input vector into a binarized version from software package <code>hctsa</code> — binarize_mean

Converts an input vector into a binarized version from software package <code>hctsa</code>

binarize_mean: Converts an input vector into a binarized version from software package `hctsa`

Description

Usage

Arguments

Value

References