02 - Principal Component Analysis =========================================================================== This example corresponds to the analysis of PCA data from "Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science." related to the "Iris Data Set" (https://archive.ics.uci.edu/ml/datasets/Iris). Verification used comes from the same analyis done in https://plot.ly/ipython-notebooks/principal-component-analysis/ Analsyis -------------------- This project contains **1** Analysis. * PCAAnalysis: **"PCAAnalysis"** Note that in this study new species and phases are added in the database Plots -------------------- This project contains **3** Plots. * Plot 1: **"Distribution Overview"** .. figure:: DistributionOverview.svg :scale: 100 :alt: DistributionOverview.svg :align: center * Plot 2: **"Principal components"** .. figure:: Principalcomponents.svg :scale: 100 :alt: Principalcomponents.svg :align: center * Plot 3: **"Projection Onto the New Feature Space"** .. figure:: ProjectionOntotheNewFeatureSpace.svg :scale: 100 :alt: ProjectionOntotheNewFeatureSpace.svg :align: center