Estimation of Classification Error Based on the Bhattacharyya Distance for Data with Multimodal Distribution

Multimodal 분포 데이터를 위한 Bhattacharyya distance 기반 분류 에러예측 기법

In pattern classification, the Bhattacharyya distance has been used as a class separability measure and provides useful information for feature selection and extraction. In this paper, we propose a method to predict the classification error for multimodal data based on the Bhattacharyya distance. In our approach, we first approximate the pdf of multimodal distribution with a Gaussian mixture model and find the bhattacharyya distance and classification error. Exprimental results showed that there is a strong relationship between the Bhattacharyya distance and the classification error for multimodal data.