| Abstract: |  A lot of knowledge about the real world could be discovered from the time series. This
work describes some of the problems one may encounter while dealing with time series
and some solutions are proposed. The problem of time series lag is analyzed in detail.
The goal of this thesis is to find clusters of economics with respect to their trade
relationship with Germany. The time series in the dataset describe the German export
and import to and from individual countries on a yearly basis. The similarity in shape
of these time series is used to decide about the similarity of the economics described by
them.
Multiple algorithms are suggested to deal with this task — the chosen algorithms
tend to be simple and straightforward which allows economists to find a reasonable
interpretation of the results without the need to understand any underlying magic.
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