| tags: [ PCA Imputation Data Cleaning ] categories: [Reading ]

Understanding PCA

Introduction

Principal component analysis (PCA) is one of the analysis techniques that I will be performing on my data. For the phenotypic dataset, it will be used to impute missing values to obtain a complete dataset. Later on, PCA will be performed to determine principal components of the endophenotypes to identify any latent phenotypes.

http://setosa.io/ev/principal-component-analysis/

https://georgemdallas.wordpress.com/2013/10/30/principal-component-analysis-4-dummies-eigenvectors-eigenvalues-and-dimension-reduction/