평활된 주기도를 이용한 강수량자료의 군집화

Abstract

It is well known that spectral density function determines auto-covariance func-tion of stationary time-series data and smoothed periodogram is a consistent estimatorof spectral density function. Recently, Kim and Park (2007) showed that smoothed-periodogram based distances performs very well for the classi¯cation. In this paper, we introduce classi¯cation methods with smoothed periodogram and apply the approaches to the monthly precipitation measurements obtained from January, 1987 through De- cember, 2007 at 22 locations in South Korea.