Clustering Matrix Sequences Based on the Iterative Dynamic Time Deformation Procedure
Zhengbing Hu, Sergii Mashtalir, Oleksii K. Tyshchenko, Mykhailo I. Stolbovyi · International Journal of Intelligent Systems and Applications · 2018
The techniques of Dynamic Time Warping (DTW) have shown a great efficiency for clustering time series.On the other hand, it may lead to sufficiently high computational loads when it comes to processing long data sequences.For this reason, it may be appropriate to develop an iterative DTW procedure to be capable of shrinking time sequences.And later on, a clustering approach is proposed for the previously reduced data (by means of the iterative DTW).Experimental modeling tests were performed for proving its efficiency.