articleTop 10% cited
A global averaging method for dynamic time warping, with applications to clustering
Pattern Recognition · 2010 · Vol. 44(3) · pp. 678–693
François Petitjean✉(Centre National d'Études Spatiales)Alain Ketterlin(Université de Strasbourg)Pierre Gançarski(Université de Strasbourg)
Time Series Analysis and ForecastingData Management and AlgorithmsData Mining Algorithms and ApplicationsDynamic time warpingPairwise comparisonComputer scienceCluster analysisSimilarity (geometry)Set (abstract data type)Data miningComputationMeasure (data warehouse)Algorithm
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References
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
BMC Bioinformatics · 2004 · 9,268 citations
Data clustering
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A general method applicable to the search for similarities in the amino acid sequence of two proteins
Journal of Molecular Biology · 1970 · 11,386 citations
Clustering of time series data—a survey
Pattern Recognition · 2005 · 2,370 citations
T-coffee: a novel method for fast and accurate multiple sequence alignment 1 1Edited by J. Thornton
Journal of Molecular Biology · 2000 · 7,021 citations
Survey of Clustering Algorithms
IEEE Transactions on Neural Networks · 2005 · 6,086 citations
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