Pregled bibliografske jedinice broj: 974340
Cluster Detection in Noisy Environment by Using the Modified EM Algorithm
Cluster Detection in Noisy Environment by Using the Modified EM Algorithm // Croatian operational research review, 9 (2018), 2; 223-234 doi:10.17535/crorr.2018.0017 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 974340 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Cluster Detection in Noisy Environment by Using the Modified EM Algorithm
Autori
Novoselac, Vedran ; Zlatko, Pavić
Izvornik
Croatian operational research review (1848-0225) 9
(2018), 2;
223-234
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
clustering ; EM ; Mahalanobis distance ; least squares ; least absolute deviation ; Davies-Bouldin index
Sažetak
The paper studies the problem of cluster detection in noisy environment. The solution of this problem is based on the well known Expectation Maximization (EM) algorithm. By utilizing the Mahalanobis distance, and modifying the hidden variable, the rejection procedure is constructed so that it omits data from calculation of the current iteration step. Thus we construct the adaptive framework for solving the above problem. Several numerical examples are presented to illustrate the proposed algorithm.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Računarstvo
POVEZANOST RADA
Ustanove:
Strojarski fakultet, Slavonski Brod
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
- EconLit
Uključenost u ostale bibliografske baze podataka::
- EconLit
- INSPEC
- MathSciNet
- Zentrallblatt für Mathematik/Mathematical Abstracts
