Improved Prototype Selection in Synergetic Pattern Recognition to Recognize Human Face Expressions
The prototype selection plays critical roles in synergetic pattern recognition (SPR). K-means clustering is widely adopted to determine appropriate prototypes in SPR. However, the selection of initial cluster centers significantly affects clustering results. We propose an improved k-means clustering...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2013-12-01
|
| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1260/1748-3018.7.4.541 |