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

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.