Hierarchical k-nearest neighbor classification using feature and observation space information

Ryosuke Kubota; Eiji Uchino; Noriaki Suetake

doi:10.1587/elex.5.114

LETTER

Hierarchical k-nearest neighbor classification using feature and observation space information

Ryosuke Kubota, Eiji Uchino, Noriaki Suetake

Author information

Keywords: k-nearest neighbor classification, pixel classification, image segmentation, learning vector quantization

JOURNAL FREE ACCESS

2008 Volume 5 Issue 3 Pages 114-119

DOI https://doi.org/10.1587/elex.5.114

Details

Abstract

A novel hierarchical k-nearest neighbor classification method using the feature and observation space information is proposed. The present method performs a fine classification when a pair of the spatial coordinate of the observation data in the observation space and its corresponding feature vector in the feature space is provided.

Corresponding author

Register with J-STAGE for free!