| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6905816 | Applied Soft Computing | 2014 | 7 Pages |
Abstract
- The clustering problem is an emergent issue in fuzzy time series.
- The existing clustering methods deal with the number of clusters or their size.
- Optimized cluster paradox refers to that trade-off between size and number.
- The histogram damping algorithm (HDP) is proposed to deal with this problem by estimating a proper cluster form with number and size characteristics.
- The proposed model is tested against the conventional methods and the case of random data is also presented. Results indicated superiority of the proposed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Okan Duru, Emrah Bulut,