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

Subtitle:

Książka = Book ; KS/4/2012/P09

Creator:

Krawczak, Maciej ; Szkatuła, Grażyna

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2012

Description:

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

Type of object:

Book/Chapter

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.

Relation:

Książka = Book

Resource type:

Text

Detailed Resource Type:

Book

Source:

KS-2012-04-P09

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

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: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

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.

Access:

Open