A Quantum Hybrid PSO Combined with Fuzzy k-NN Approach to Feature Selection and Cell Classification in Cervical Cancer Detection

A Quantum Hybrid PSO Combined with Fuzzy k-NN Approach to Feature Selection and Cell Classification in Cervical Cancer Detection

A quantum hybrid (QH) intelligent approach that blends the adaptive search capability of the quantum-behaved particle swarm optimisation (QPSO) method with the intuitionistic rationality of traditional fuzzy k-nearest neighbours (Fuzzy k-NN) algorithm (known simply as the Q-Fuzzy approach) is propos...

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Bibliographic Details
Main Authors: Abdullah M. Iliyasu, Chastine Fatichah
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
computational intelligence
quantum hybrid intelligent systems
quantum machine learning
medical image processing
disease diagnosis
Fuzzy k-NN
quantum-behaved PSO
cervical smear images
cancer detection
Online Access:https://www.mdpi.com/1424-8220/17/12/2935

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https://www.mdpi.com/1424-8220/17/12/2935

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