@misc{Krawczak_Maciej_New_2012,
 author={Krawczak, Maciej and Szkatuła, Grażyna},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Książka = Book},
 howpublished={online},
 year={2012},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={In this paper we considered time series dimension reduction and clustering. The techniques of reduction of dimension of time series is based on the concept of upper and lower envelopes, aggregation of the envelopes and extracting essential attributes. Essential attributes were nominalized. The reduced representation of time series is characterized by nominal attributes. For such representation of time series we applied a definition of conditions domination within each pair of clusters. The developed hierarchical and agglomerative method is characterized both by high speed of computation as well as extremely good accuracy of clustering was applied to solve a clustering problem of time series data.},
 title={New developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: applications * Dimension reduction of time series for clustering problem},
 type={Text},
 URL={http://rcin.org.pl/Content/205938/PDF/KS-2012-04-P09.pdf},
}