A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering

A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering

Data clustering is a challenging task to gain insights into data in various fields. In this paper, an Enhanced Quantum-Inspired Evolutionary Fuzzy C-Means (EQIE-FCM) algorithm is proposed for data clustering. In the EQIE-FCM, quantum computing concept is utilized in combination with the FCM algorith...

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Bibliographic Details
Main Authors: Neha Bharill, Om Prakash Patel, Aruna Tiwari, Lifeng Mu, Dong-Lin Li, Manoranjan Mohanty, Omprakash Kaiwartya, Mukesh Prasad
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Clustering
quantum computing
evolutionary algorithm
fuzzy set theory
bioinformatics
Online Access:https://ieeexplore.ieee.org/document/8606940/

Internet

https://ieeexplore.ieee.org/document/8606940/

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