An optimized k-harmonic means algorithm combined with modified particle swarm optimization and Cuckoo Search algorithm

DOI10.1515/FCDS-2016-0006zbMath1378.90090OpenAlexW2501017902MaRDI QIDQ1692073

Asgarali Bouyer

Publication date: 26 January 2018

Published in: Foundations of Computing and Decision Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/fcds-2016-0006

zbMATH Keywords

local minimumk-meansparticle swarm optimizationLévy flightk-harmonic means clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Clustering data with measurement errors
• Distributed clustering algorithms for data-gathering in wireless mobile sensor networks
• Data Mining and Knowledge Discovery Handbook
• Ant colony optimization of clustering models

This page was built for publication: An optimized k-harmonic means algorithm combined with modified particle swarm optimization and Cuckoo Search algorithm