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Title:
Primerjava pristopov gručenja z algoritmi po vzoru iz narave
Authors:
ID
Mikek, David
(
Author
)
ID
Karakatič, Sašo
(
Mentor
)
More about this mentor...
Files:
MAG_Mikek_David_2024.pdf
(5,16 MB)
MD5: EB9F1D8D6575565544E250C36613A8F4
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
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.
Keywords:
gručenje
,
algoritmi po vzoru iz narave
Place of publishing:
Maribor
Publisher:
[D. Mikek]
Year of publishing:
2024
PID:
20.500.12556/DKUM-89675
UDC:
004.8.021(043.2)
COBISS.SI-ID:
219158787
Publication date in DKUM:
19.09.2024
Views:
104
Downloads:
38
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:
http://creativecommons.org/licenses/by-sa/4.0/
Description:
This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:
02.08.2024
Secondary language
Language:
English
Title:
Comparison of approaches to clustering with algorithms based on nature-inspired approach
Abstract:
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.
Keywords:
clustering
,
nature-inspired algorithms
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