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(http://www.nlpca.org/fig_pca_principal_component_analysis.png) PCA will convert our data into eigenvector and eigenvalue. Eigenvector can also be referred as Principal Components (PC) as shown in Figure 1. The number of PC can be selected based on what dimension we want to use. Manifold Learning