Principal components for a 3d dataset

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Question: We will compute and plot the three principal components for a 3D dataset. Imple- ment PCA by filling in the pca(data) function in pca.py. Run simple.py to plot the principal axes over the dataset. In your plot, label the principal axes in descending order of eigenvalue (so the axis corresponding to highest eigenvalue should be labeled PC 1, the second highest should be PC 2, etc.) You can label the axes using whatever tool you'd like; you don't have to use matplotlib. Include this plot in your writeup.

Reference no: EM133627664

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