✦ LIBER ✦

Rectified nearest feature line segment for pattern classification

✍ Scribed by Hao Du; Yan Qiu Chen

Publisher: Elsevier Science
Year: 2007
Tongue: English
Weight: 608 KB
Volume: 40
Category: Article
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2006.10.021

No coin nor oath required. For personal study only.

✦ Synopsis

This paper points out and analyzes the advantages and drawbacks of the nearest feature line (NFL) classifier. To overcome the shortcomings, a new feature subspace with two simple and effective improvements is built to represent each class. The proposed method, termed rectified nearest feature line segment (RNFLS), is shown to possess a novel property of concentration as a result of the added line segments (features), which significantly enhances the classification ability. Another remarkable merit is that RNFLS is applicable to complex tasks such as the two-spiral distribution, which the original NFL cannot deal with properly. Finally, experimental comparisons with NFL, NN(nearest neighbor), k-NN and NNL (nearest neighbor line) using both artificial and real-world data-sets demonstrate that RNFLS offers the best performance.

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