LLT: An R package for linear law-based feature space transformation

The goal of the linear law-based feature space transformation (LLT) algorithm is to assist with the classification of univariate and multivariate time series. The presented R package, called LLT, implements this algorithm in a flexible yet user-friendly way. This package first splits the instances i...

詳細記述

書誌詳細

出版年:	SoftwareX
主要な著者:	Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-02-01
主題:	R package Time series classification Linear law Feature space transformation Artificial intelligence
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2352711023003199