Summarizing a set of time series by averaging: from Steiner sequence to compact multiple alignment
type: Item
instance of: scholarly article
title: Summarizing a set of time series by averaging: from Steiner sequence to compact multiple alignment
zbMATH Open document ID: 1232.68105
author: François Petitjean
author: Pierre Gançarski
published in: Theoretical Computer Science
publication date: 2012-03-13T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T20
Mathematics Subject Classification ID: 68W32
zbMATH DE Number: 6014300
zbMATH Keywords: time series summarizing
zbMATH Keywords: time series averaging
zbMATH Keywords: dynamic time warping
zbMATH Keywords: multiple alignment
zbMATH Keywords: compact multiple alignment
zbMATH Keywords: consensus sequence
zbMATH Keywords: soft computing
describes a project that uses: Kalign
describes a project that uses: MUSCLE
describes a project that uses: PCMA
describes a project that uses: T-coffee
describes a project that uses: PROMALS
MaRDI profile type: Publication
full work available at URL: j.tcs.2011.09.029
OpenAlex ID: W2068982516
Wikidata QID: Q56228140
cites work: Algorithms on Strings, Trees and Sequences
cites work: Steiner Minimal Trees
cites work: An adaptive genetic clustering method for exploratory mining of feature vector and time series data
cites work: A global averaging method for dynamic time warping, with applications to clustering
cites work: Dynamic programming algorithm optimization for spoken word recognition
cites work: Solving the Graphical Steiner Tree Problem Using Genetic Algorithms
cites work: Q4079017
cites work: Q4692508
cites work: Q4258228
DOI: 10.1016/J.TCS.2011.09.029
description: scientific article; zbMATH DE number 6014300