이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
Over recent releases, Statistics Toolbox has included new functionality for multivariate classification methods, including cross-validation, feature selection, Naïve Bayes, bagged decision trees, ROC performance curves and integration with Parallel Computing Toolbox.
In this webinar we will give an overview of classification methods available in Statistics Toolbox and related products, and demonstrate their application to tumor classification using gene expression data.
인용 양식
Sam Roberts (2026). Applying Multivariate Classification in the Life Sciences with Statistics Toolbox (https://kr.mathworks.com/matlabcentral/fileexchange/25807-applying-multivariate-classification-in-the-life-sciences-with-statistics-toolbox), MATLAB Central File Exchange. 검색 날짜: .
