Open AccessAn approach to Fuzzy clustering of the iris petals by using Ac-means Analysis
Author(s) -
Nicolás Enrique Salgado Guitiérrez,
Sergio Andrés Valencia Ramírez,
José Soriano Méndez
Publication year - 2021
Publication title -
international journal of soft computing/international journal on soft computing
Language(s) - English
Resource type - Journals
eISSN - 2229-7103
pISSN - 2229-6735
DOI - 10.5121/ijsc.2021.12401
Subject(s) - partition (number theory) , computer science , cluster analysis , homomorphism , petal , iris (biosensor) , fuzzy logic , fuzzy clustering , data mining , pattern recognition (psychology) , artificial intelligence , mathematics , discrete mathematics , combinatorics , botany , biometrics , biology
This paper proposes a definition of a fuzzy partition element based on the homomorphism between type-1 fuzzy sets and the three-valued Kleene algebra. A new clustering method based on the C-means algorithm, using the defined partition, is presented in this paper, which will be validated with the traditional iris clustering problem by measuring its petals.