Abstract
A novel classification approach called modified center-based feature line (MCFL) is proposed to reduce the computational cost of the nearest feature line (NFL) and maintain the advantages of NFL. Unlike NFL, MCFL defines a different type of feature line and utilizes both the query point’s local information and corresponding class-global information in training set. In experiments provided, the comparisons with the nearest neighbor (NN), NFL, and other NFL-refined approaches show that the computation time of MCFL can be shortened dramatically with less accuracy decreases. MCFL proposed is probably a better choice for the classification application tasks of large-scale dataset.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Frontiers of Electrical and Electronic Engineering in China
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
