Editing Dynamic time warping (section)

== Supervised learning ==

A [[k-nearest neighbors algorithm|nearest-neighbour classifier]] can achieve state-of-the-art performance when using dynamic time warping as a distance measure.<ref>{{cite journal | last1 = Ding | first1 = Hui | last2 = Trajcevski | first2 = Goce | last3 = Scheuermann | first3 = Peter | last4 = Wang | first4 = Xiaoyue | last5 = Keogh | first5 = Eamonn | year = 2008 | title = Querying and mining of time series data: experimental comparison of representations and distance measures | journal = Proc. VLDB Endow. | volume = 1 | issue = 2| pages = 1542–1552 | doi = 10.14778/1454159.1454226 | doi-access = free }}</ref>