Abstract
The proposed new vector criterion improves the results obtained based on the fuzzy c-means method. The possibility to apply the proposed vector criterion to fuzzy clustering problems is substantiated. The appropriate algorithm is constructed to allow one to perform clustering of rocks based on a predictive estimate of outburst hazard degree.
| Original language | English |
|---|---|
| Pages (from-to) | 13-21 |
| Number of pages | 9 |
| Journal | Journal of Automation and Information Sciences |
| Volume | 42 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 30 Dec 2010 |
Keywords
- Clustering problem
- Fuzzy c-means method
- Outburst hazard degree.
- Predictive estimate
- Rock clustering
Fingerprint
Dive into the research topics of 'Modification of fuzzy c-means method using a nonlinear vector criterion'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver