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Feature selection using tabu search method

โœ Scribed by Hongbin Zhang; Guangyu Sun


Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
236 KB
Volume
35
Category
Article
ISSN
0031-3203

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โœฆ Synopsis


Selecting an optimal subset from original large feature set in the design of pattern classi"er is an important and di$cult problem. In this paper, we use tabu search to solve this feature selection problem and compare it with classic algorithms, such as sequential methods, branch and bound method, etc., and most other suboptimal methods proposed recently, such as genetic algorithm and sequential forward (backward) #oating search methods. Based on the results of experiments, tabu search is shown to be a promising tool for feature selection in respect of the quality of obtained feature subset and computation e$ciency. The e!ects of parameters in tabu search are also analyzed by experiments.


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