We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
GROUP APPROACH TO SOLVING THE TASKS OF RECOGNITION.
- Authors
AMIRGALIYEV, Yedilkhan; BERIKOV, Vladimir; CHERIKBAYEVA, Lyailya S.; LATUTA, Konstantin; BEKTURGAN, Kalybekuuly
- Abstract
In this work, we develop CASVM and CANN algorithms for semi-supervised classification problem. The algorithms are based on a combination of ensemble clustering and kernel methods. A probabilistic model of classification with the use of cluster ensemble is proposed. Within the model, error probability of CANN is studied. Assumptions that make probability of error converge to zero are formulated. The proposed algorithms are experimentally tested on a hyperspectral image. It is shown that CASVM and CANN are more noise resistant than standard SVM and kNN.
- Subjects
ERROR probability; CLASSIFICATION algorithms; PROBABILISTIC number theory; SPECTRAL imaging; TASKS
- Publication
Yugoslav Journal of Operations Research, 2019, Vol 29, Issue 2, p177
- ISSN
0354-0243
- Publication type
Article
- DOI
10.2298/YJOR180822032Y