Abstract
The similarity search in time series attracts much attention recently, and the similarity measuring method is one of the most important problems in this area. Aiming at the time series data with high dimension, multi-property, noise and default, a similarity measuring method based on slope is proposed in this paper. Based on PLR, the method distributes the power among their slope differences so that its physical concept is more clear. The slope distance completely satisfies the basic rules of similarity measuring, and the example shows its validity.
| Original language | English |
|---|---|
| Pages (from-to) | 271-274 |
| Number of pages | 4 |
| Journal | Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence |
| Volume | 20 |
| Issue number | 2 |
| State | Published - Apr 2007 |
Keywords
- Measuring
- Similarity
- Slope
- Time series