Nestriktās ekvivalences nestriktās klasterizācijas algoritmā

6533b873fe1ef96bd12d5167

RESEARCH PRODUCT

Nestriktās ekvivalences nestriktās klasterizācijas algoritmā

subject

t-norma T - ekvivalence nestrīktās ekvivalences attiecības Matemātika FERC nestriktā klasteru analīze

description

Maģistra darba mērķis ir iepazīstināt lasītāju ar izstrādātu, ERAF projekta ietvaros, klasterizācijas metodi FERC, un parādīt tās priekšrocības salīdzinājumā ar nestrikto C-means. Projekta rezultāti tiks publicēti žurnālā Springer. FERC metodē, mēs ieviešam nestrīktās ekvivalences attiecības dažādiem objekta atribūtiem, un tad mēs agregējam šīs nestriktās ekvivalences attiecības vienā, lai noteiktu objekta piederības pakāpi kādam klasterim. Darbā tiek parādīts, ka klasterizācijas procesā, katram objekta atribūtam var uzdot tā nozīmīgumu, ieviešot atribūtu svarus. Līdz šim klasterizācijas procesā, atribūtu svari netika izmantoti. Kā arī darbā tiek parādīti ilustratīvi piemēri.

year	journal	country	edition	language
2022-01-01

https://dspace.lu.lv/dspace/handle/7/60111

PEPhysical Sciences and Engineering
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LSLife Sciences
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SHSocial Sciences and Humanities
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