고차원 범주형 자료를 위한 비지도 연관성 기반 범주형 변수 선택 방법

• Published in: 品質經營學會誌 Vol. 47; no. 3; pp. 537 - 552
• Main Authors: 이창기, Changki Lee, 정욱, Uk Jung
• Format: Journal Article
• Language: Korean
• Published: 한국품질경영학회 30.09.2019
• Subjects: Association-based Dissimilarity; Distance Metric; Feature Selection; High-dimensional Categorical Data; Unsupervised Learning; 학제간연구; Feature Selection; Distance Metric; High-dimensional Categorical Data; Unsupervised Learning; Association-based Dissimilarity

Purpose: The development of information technology makes it easy to utilize high-dimensional categorical data. In this regard, the purpose of this study is to propose a novel method to select the proper categorical variables in high-dimensional categorical data. Methods: The proposed feature selecti...