Aghabozorgi, S.R. and Wah, T.Y. and Amini, A. and Saybani, M.R. (2011) A new approach to present prototypes in clustering of time series. In: Proceedings of The 2011 International Conference on Data Mining, 18-21 July 2011, Las Vegas, USA.
![[img]](http://eprints.um.edu.my/style/images/fileicons/application_pdf.png)
|
PDF
A_new_approach_to_present_prototypes.pdf - Published Version Download (3MB) |
Abstract
There are considerable advances in clustering time series data in data mining concept. However, most of which use traditional approaches and try to customize the algorithms to be compatible with time series data. One of the significant problems with traditional clustering is defining prototype specially in partitional clustering where it needs centroids as representative of each cluster. In this paper we present a novel effective approach to define the prototypes based on time series nature. The prototype is constructed based on fuzzy concept efficiently. Moreover, it is demonstrated how the prototypes are moved in iterations. We will present the benefits of the proposed prototype by implementing a real application: Customer transactions clustering.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics |
| Depositing User: | Mr. Mohd Samsul Ismail |
| Date Deposited: | 11 May 2015 00:03 |
| Last Modified: | 11 May 2015 00:03 |
| URI: | http://eprints.um.edu.my/id/eprint/13448 |
Actions (login required)
 |
View Item |
