Tytuł:

New developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: applications * Dimension reduction of time series for clustering problem

Inny tytuł:

Książka = Book ; KS/4/2012/P09

Twórca:

Krawczak, Maciej ; Szkatuła, Grażyna

Wydawca:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Miejsce wydania:

Warszawa

Data wydania/powstania:

2012

Opis:

[5], 101-110 pages ; 21 cm ; Bibliography p. 109-110

Typ obiektu:

Book/Chapter

Abstrakt:

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.

Czasopismo/Seria/cykl:

Książka = Book

Typ zasobu:

Text

Szczegółowy typ zasobu:

Book

Źródło:

KS-2012-04-P09

Język:

eng

Język streszczenia:

eng

Prawa:

Creative Commons Attribution BY 4.0 license

Zasady wykorzystania:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitalizacja:

Systems Research Institute of the Polish Academy of Sciences

Lokalizacja oryginału:

Library of Systems Research Institute PAS

Dofinansowane ze środków:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Dostęp:

Open