Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66550
Title: Adaptive affinity propagation method based on improved cuckoo search
Authors: Jia, B
Yu, B
Wu, Q
Wei, C
Law, R
Keywords: Clustering
Affinity propagation
Cuckoo search
Quaternion
Optimization
Issue Date: 2016
Publisher: Elsevier
Source: Knowledge-based systems, 1 Nov. 2016, v. 111, p. 27-35 How to cite?
Journal: Knowledge-based systems 
Abstract: Affinity propagation (AP) is an efficient clustering technique to deal with datasets of many instances; however, it has oscillations and its preference value needs to be preset. 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 Levy 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.
URI: http://hdl.handle.net/10397/66550
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2016.07.039
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