A classification method for absorption spectrum of considering proximity peak in NMR

This paper presents a new method of absorption spectrum in NMR. Recently, a high level performance of the classification using Support vector machine (SVM) has reported. However, the method is that its performance of the classification is reduced if some peaks of the data set are very close. In this paper, we propose a classification method that takes into account for the proximity peak of absorption spectrum. Simulation results are also shown.