Adaptive affinity propagation method based on improved cuckoo search

B. Jia; B. Yu; Q. Wu; C. Wei; Chun Hung Roberts Law

doi:10.1016/j.knosys.2016.07.039

Adaptive affinity propagation method based on improved cuckoo search

B. Jia, B. Yu, Q. Wu, C. Wei, Chun Hung Roberts Law

Research output: Journal article publication › Journal article › Academic research › peer-review

25 Citations (Scopus)

Abstract

This study proposes an improved cuckoo search (ICS) technique to solve the AP model. The ICS algorithm utilizes quaternions to represent individuals that are to be optimized. The variable step length of Lévy flights and a method of discovering probability are also proposed. The proposed adaptive AP based on ICS is utilized (or tested) to identify four standard test datasets, such as face images and handwritten digits. The proposed method produces highly accurate results.

Original language	English
Pages (from-to)	27-35
Number of pages	9
Journal	Knowledge-Based Systems
Volume	111
DOIs	https://doi.org/10.1016/j.knosys.2016.07.039
Publication status	Published - 1 Nov 2016

Keywords

Affinity propagation
Clustering
Cuckoo search
Optimization
Quaternion

ASJC Scopus subject areas

Software
Management Information Systems
Information Systems and Management
Artificial Intelligence

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10.1016/j.knosys.2016.07.039

Cite this

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KW - Clustering

KW - Cuckoo search

KW - Optimization

KW - Quaternion

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ER -

Adaptive affinity propagation method based on improved cuckoo search

Abstract

Keywords

ASJC Scopus subject areas

More information

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