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Time series clustering in large data sets
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
The clustering of time series is a widely researched area. There are many methods for dealing with this task. We are actually using the Self-organizing map (SOM) with the unsupervised learning algorithm for clustering of time series. A er the fi rst experiment (Fejfar, Weinlichová, Šťastný, 2009) it seems that the whole concept of the clustering algorithm is correct but that we have to perform time series clustering on much larger dataset to obtain more accurate results and to fi nd thedoi:10.11118/actaun201159020075 fatcat:4jssq4ii5bhy7bksjahpiqxm2a