20.500.12556/DKUM-89675 Primerjava pristopov gručenja z algoritmi po vzoru iz narave Comparison of approaches to clustering with algorithms based on nature-inspired approach V tem delu smo se lotili gručenja s petimi različnimi algoritmi po vzoru iz narave. V ta namen smo razvili štiri različne pristope za njihovo uporabo pri reševanju problema gručenja. Njihovo učinkovitost smo preverili z eksperimentom nad šestimi različnimi podatkovnimi seti in na koncu izvedli primerjavo. Ugotovili smo, da lahko algoritmi po vzoru iz narave učinkovito rešujejo problem gručenja, vendar na rezultate in čas izvajanja močno vpliva izbira pristopa in algoritma. In this worked we approached clustering with five different nature-inspired algorithms. We developed four different approaches for their application. We tested their effectiveness with experiments on six different datasets and conducted a final comparison. We found that nature-inspired algorithms can effectively be used for clustering, but the choice of approach and algorithm significantly affects the final result and required time. gručenje algoritmi po vzoru iz narave clustering nature-inspired algorithms true true false [D. Mikek] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2024-08-02 20:22:44 2024-09-19 16:19:07 2024-12-16 09:56:27 0000-00-00 00:00:00 2024 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8.021(043.2) 219158787 MAG_Mikek_David_2024.pdf MAG_Mikek_David_2024.pdf 1 EB9F1D8D6575565544E250C36613A8F4 1bd06b4f652f42fa7aa12c6b8033adc4d69bf007d0b1e4273284b776d3a9e1f5 6c3b2929-50fd-11ef-9559-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=181975 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0