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Comparative Study of Improved Neurolinear Method to Two Other Novel Feature Extraction Techniques

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Abstract

This paper compares Neurolinear feature extraction technique to two other feature extraction techniques. The author has developed all three methods recently, but in this paper, Neurolinear method has been improved even further. The study is performed in respect to performance, accuracy and suitability for visualisation. Experimental study is performed on a variety of datasets from numerous domains: Chemistry, biology, finance etc. In total, 19 real and two artificial datasets were used. Comparison is performed in terms of computational efficiency and accuracy. Results show that Neurolinear method achieves best accuracy while Best directions method is not so accurate but often much faster.

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Authors and Affiliations

  1. Institute of Mathematics and Informatics, Akademijos 4, Vilnius, LT-08663, Lithuania

    Aistis Raudys

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  1. Aistis Raudys
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Correspondence to Aistis Raudys.

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Raudys, A. Comparative Study of Improved Neurolinear Method to Two Other Novel Feature Extraction Techniques. J Intell Robot Syst 46, 163–180 (2006). https://doi.org/10.1007/s10846-006-9058-0

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  • DOI: https://doi.org/10.1007/s10846-006-9058-0

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