A k-Nearest Neighbor Classification Bringing in the Information of Observation Space with Application to the Classification of Intravascular Ultrasound Data

Abstract

In this paper, we propose a novel k-nearest neighbor classification bringing in the information of observation space. The proposed method uses not only the feature vectors but also the information of where the target data is taken. The effectiveness of the proposed method is verified by applying it to the tissue classification problem of the intravascular ultrasound (IVUS) data.