KROK W KIERUNKU METODY FUZJI DECYZJI OPARTEJ NA WIĘKSZOŚCI DLA WALIDACJI WYNIKÓW KLASTERYZACJI

Taras Panskyi

tpanski@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science, Lodz, Poland (Polska)
http://orcid.org/0000-0002-0416-8711

Volodymyr Mosorov


Politechnika Łódzka, Łódź, Polska (Polska)
http://orcid.org/0000-0001-6016-8671

Abstrakt

Różnorodne indeksy walidacji klasteryzacji (CVI) mają na celu walidację wyników analizy skupień i określenie, który algorytm klasteryzacji działa najlepiej. Różne indeksy walidacji mogą być odpowiednie dla różnych algorytmów klasteryzacji lub miar niepodobieństwa podziału; jednak najlepszy walidacyjny indeks do zastosowania w praktyce pozostaje nieznany. Pojedynczy CVI na ogół nie jest w stanie poradzić sobie z dużą zmiennością i skalowalnością danych oraz z powodzeniem poradzić sobie we wszystkich kontekstach. Dlatego jednym z popularnych podejść jest użycie kombinacji wielu CVIs i połączenie ich głosów w ostateczną decyzję. Celem tej pracy jest analiza metody fuzji decyzji opartej na większości. W związku z tym prace eksperymentalne polegały na zaprojektowaniu i wdrożeniu metody NbClust fuzji decyzji opartej na większości, a następnie ocenianie wydajności CVIs za pomocą różnych algorytmów klasteryzacji i miar niepodobieństwa w celu odkrycia najlepszej konfiguracji walidacji. Ponadto autor zaproponował rozszerzenie standardowej metody fuzji decyzji oparta na większości o proste reguły dla maksymalnej efektywności procedury walidacji. Wynik pokazał, że zaprojektowana ulepszona metoda z inwazyjną konfiguracją walidacji może poradzić sobie z prawie wszystkimi zbiorami danych (99%) z różnymi eksperymentalnymi parametrami (gęstość, wymiarowość, liczba klastrów, itp.).


Słowa kluczowe:

klasteryzacja, indeks walidacji klasteryzacji, metoda fuzji decyzji

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Opublikowane
2021-06-30

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Panskyi, T., & Mosorov, V. (2021). KROK W KIERUNKU METODY FUZJI DECYZJI OPARTEJ NA WIĘKSZOŚCI DLA WALIDACJI WYNIKÓW KLASTERYZACJI. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 11(2), 4–13. https://doi.org/10.35784/iapgos.2596

Autorzy

Taras Panskyi 
tpanski@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science, Lodz, Poland Polska
http://orcid.org/0000-0002-0416-8711

Autorzy

Volodymyr Mosorov 

Politechnika Łódzka, Łódź, Polska Polska
http://orcid.org/0000-0001-6016-8671

Statystyki

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