LinearDiscriminant Analysis (LDA)
LDA는 패턴 인식에서 높은 성능을 보여주는 통계적 기법 중 하나이다. 같은 클래스의 데이터에 존재하는 변화 정보(Within Class)와 다른 클래스의 데이터 간의 변화 정보(Between Class)를 이용하여 각각의 데이터들이 자신의 정보를 잘 나타낼 수 있는 판별식을 만드는 방식이다.
did multivariate analysis by using discriminant analysis.
The aim of this study is to verify whether the government chose poor performance universities in a reasonable way or not. We will do that by doing discriminant analysis and comparing the results against those of the government’s list. In that way, we would like to explore the data and investigate validity of the government’s list.
Ⅰ. 개요
우리나라는 매년 교통사고로 인하여 많은 사람이 부상을 입고 사망을 당하는 인명피해가 발생하고 있으며, 이로 인한 사회적손실비용도 막대하며 우리나라의 교통안전의 사업 등이 아직도 후진국 수준에 머물고 있다.
학계에서 일반적으로 교통사고의 발생요인을 크게 인적요인, 차량적요
1.Introduction
1) Motivation of the study
The heaviest investment in sports team occurs in finding a good player. However, some teams succeed in contracting with players who are devaluated in the market, but some teams fail. Because how well the player plays is not measurable in the first place, many professional leagues make statistics that can support people of interest in this ‘risky’ in
I. Introduction
In 1983, Nongshim-Kellogg launched the first cereal in Korea. A year later, Dongsuh-food corporation also released a cereal for breakfast. Since then, cereal market in Korea grew up every year. The number of product lines of cereal being sold in current Korean market is over 30. So people can now choose a product according to their own preference. Consumers have several purpose