An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm

An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm

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Among the data clustering algorithms, k-means (KM) algorithm is one of the most popular clustering techniques due to its simplicity and efficiency. However, k-means is sensitive to initial centers and it has the local optima problem. K-harmonic-means (KHM) clustering algorithm solves the initializat...

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Bibliographic Details
Main Author: Bouyer Asgarali
Format: Article
Language:English
Published: Sciendo 2016-06-01
Series:Foundations of Computing and Decision Sciences
Subjects:
k-means
k-harmonic means clustering
particle swarm optimization
lévy flight
local minimum
Online Access:https://doi.org/10.1515/fcds-2016-0006

Internet

https://doi.org/10.1515/fcds-2016-0006

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