An extended nearest feature line (ENFL) classifier is proposed to handle the discrimination problems. The ENFL borrows the concept of feature line spaces from the nearest feature line (NFL) method, to make use of the information implied by the interaction between each pair of points in the same class. Instead of the NFL distance, a better distance metric is designed in the ENFL. The ENFL is very effective in the cases with a small training set. The experimental evaluation shows that in the given feature space, the ENFL consistently achieves better performance than NFL and conventional nearest neighbor methods. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Zhou, Y., Zhang, C., & Wang, J. (2004). Extended nearest feature line classifier. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3157, pp. 183–190). Springer Verlag. https://doi.org/10.1007/978-3-540-28633-2_21
Mendeley helps you to discover research relevant for your work.