A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique

Time series clustering is an important solution to various problems in numerous fields of research, including business, medical science, and finance. However, conventional clustering algorithms are not practical for time series data because they are essentially designed for static data. This impract...

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Vydáno v:	TheScientificWorld Ročník 2014; číslo 2014; s. 1 - 12
Hlavní autoři:	Jalali, Alireza, Shayegan, Mohammad Amin, Jalab, Hamid A., Herawan, Tutut, Teh, Ying-Wah, Aghabozorgi, Said
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2014 John Wiley & Sons, Inc Wiley
Témata:	Algorithms Cluster Analysis Clustering (Computers) Experiments Methods Pattern Recognition, Automated Product development Prototypes Time series Time-series analysis
ISSN:	2356-6140, 1537-744X, 1537-744X
On-line přístup:	Získat plný text
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