"<a href=\"https://en.wikipedia.org/wiki/Dynamic_time_warping\" target=\"_blank\" title=\"External link\">Dynamic Time Warping</a> (DTW) ",
"also quantifies similarity between two time series but ",
"contrary to other distance measures it accounts for the order of time points.</p>",
"<p>In the second step, distances are arranged hierarchicaly and visualised as a dendrogram ",
"is another distance metric that does not only compare series point by point but also tries to align them such that shapes between the 2 series are matched. ",
"This makes DTW a good quantification of similarity when signals are similar but shifted in time.</p>",
"<p>In the second step, clusters are successively built and merged together. The distance between the newly formed clusters is determined by the <b>linkage criterion</b> ",
"using one of <a href=\"https://en.wikipedia.org/wiki/Hierarchical_clustering\" target=\"_blank\" title=\"External link\">linkage methods</a>.</p>"))