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A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique
Joint Authors
Shayegan, Mohammad Amin
Jalab, Hamid A.
Herawan, Tutut
Teh, Ying-Wah
Jalali, Alireza
Aghabozorgi, Said
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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 impracticality results in poor clustering accuracy in several systems.
In this paper, a new hybrid clustering algorithm is proposed based on the similarity in shape of time series data.
Time series data are first grouped as subclusters based on similarity in time.
The subclusters are then merged using the k-Medoids algorithm based on similarity in shape.
This model has two contributions: (1) it is more accurate than other conventional and hybrid approaches and (2) it determines the similarity in shape among time series data with a low complexity.
To evaluate the accuracy of the proposed model, the model is tested extensively using syntactic and real-world time series datasets.
American Psychological Association (APA)
Aghabozorgi, Said& Teh, Ying-Wah& Herawan, Tutut& Jalab, Hamid A.& Shayegan, Mohammad Amin& Jalali, Alireza. 2014. A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050103
Modern Language Association (MLA)
Aghabozorgi, Said…[et al.]. A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1050103
American Medical Association (AMA)
Aghabozorgi, Said& Teh, Ying-Wah& Herawan, Tutut& Jalab, Hamid A.& Shayegan, Mohammad Amin& Jalali, Alireza. A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050103
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050103