title: A hybrid algorithm for clustering of time series data based on affinity search technique.
abstract: 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.
authors: Faculty of Computer Science & Information Technology Building, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors: Saeed
authors: S
authors: Aghabozorgi
authors: Faculty of Computer Science & Information Technology Building, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors: Teh
authors: T
authors: Ying Wah
authors: Faculty of Computer Science & Information Technology Building, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors: Tutut
authors: T
authors: Herawan
authors: Faculty of Computer Science & Information Technology Building, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors: Hamid A
authors: HA
authors: Jalab
authors: Faculty of Computer Science & Information Technology Building, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors: Mohammad Amin
authors: MA
authors: Shaygan
authors: Faculty of Computer Science & Information Technology Building, University of Malaya, 50603 Kuala Lumpur, Malaysia.
authors: Alireza
authors: A
authors: Jalali
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D010363:Pattern Recognition, Automated