METHOD FUZZY CLUSTERING k-MEANS WITH SMOOTHING PENALTY FUNCTION
A new method of clustering of grayscale, color and multispectral images is presented. It is based on conditional optimization of the objective function consisting of the classic fuzzy functional criterion and the penalty function of Gibbs type, which controls local smoothness of the solution. The me...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
2016-10-01
|
| Series: | Informatika |
| Online Access: | https://inf.grid.by/jour/article/view/158 |