DocumentCode
2004512
Title
Efficient feature selection using a self-adjusting harmony search algorithm
Author
Ling Zheng ; Ren Diao ; Qiang Shen
Author_Institution
Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth, UK
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
167
Lastpage
174
Abstract
Many strategies have been exploited for the task of feature selection, in an effort to identify more compact and better quality subsets. The use of an evaluation metric have been developed recently that can judge the quality of a given subset as a whole, rather than a combination of individual features. Powerful nature-inspired stochastic search techniques have also emerged, allowing multiple good quality features to be discovered without resorting to exhaustive search. Harmony search in particular, is a recently developed technique that mimics musicians´ experience, which has been successfully applied to solving feature selection problems. This paper proposes three improvements to the harmony search algorithm that are designed to further enhance its feature selection performance. The resultant technique is more efficient, capable of automatically adjusting the internal components of the algorithm. Systematic experimental evaluation using high dimensional, real-valued data sets has been carried out to verify the benefits of the presented work.
Keywords
data handling; feature extraction; search problems; stochastic processes; evaluation metric; exhaustive search; feature combination; feature discoverty; feature selection performance; feature selection problem; high dimensional real-valued data set; musician experience; nature-inspired stochastic search technique; self-adjusting harmony search algorithm; Accuracy; Convergence; Feature extraction; Heuristic algorithms; Optimization; Sonar; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence (UKCI), 2013 13th UK Workshop on
Conference_Location
Guildford
Print_ISBN
978-1-4799-1566-8
Type
conf
DOI
10.1109/UKCI.2013.6651302
Filename
6651302
Link To Document