From 491261c3fbd8962dc257cf4050e9fb93c2a0fcb7 Mon Sep 17 00:00:00 2001 From: Shayan Davoodi <52105833+shayandavoodii@users.noreply.github.com> Date: Tue, 12 Mar 2024 16:17:53 +0100 Subject: [PATCH] =?UTF-8?q?Added=20CI=20and=20Codcov=20badges=20?= =?UTF-8?q?=F0=9F=8E=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e34055a..7b84b96 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # CepstralCoefficients.jl - +[![CI](https://github.com/shayandavoodii/CepstralCoefficients.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/shayandavoodii/CepstralCoefficients.jl/actions/workflows/ci.yml) [![codecov](https://codecov.io/gh/shayandavoodii/CepstralCoefficients.jl/graph/badge.svg?token=A70LOIP6F9)](https://codecov.io/gh/shayandavoodii/CepstralCoefficients.jl) This repo contains the Julia implementation of a study entitled "Distance Measures for Effective Clustering of ARIMA Time-Series"[[1](https://doi.org/10.1109/ICDM.2001.989529)]. The research proposes a distinguished approach to classify time series regarding their inner patterns. The authors used the Cepstral Analysis concept to find the patterns underneath the time series. ## How to use?