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Full-Text Articles in Physical Sciences and Mathematics
Multivariate Data Analysis, Diana Copeland, Michael Raymer
Multivariate Data Analysis, Diana Copeland, Michael Raymer
Explorations – The Journal of Undergraduate Research, Scholarship and Creativity at Wright State
The study of biology, computer science, and information technology all combine to form the science of bioinformatics [1]. This field was created to make discoveries on new biological insights [1]. Bioinformatics has several important task one of them being able to analyze and interpret different types of data and this includes multivariate data analysis. Multivariate data analysis can use linear projection methods such as linear discriminant analysis (LDA), principal component analysis (PCA), and projection to latent structures (PLS). I have created a Java program that can manipulate multivariate data by manual rotation and will be comparing my results to the …