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Create a plot of the PCAs for better understanding #44

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tparkerd opened this issue May 18, 2022 · 0 comments
Open

Create a plot of the PCAs for better understanding #44

tparkerd opened this issue May 18, 2022 · 0 comments
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documentation Improvements or additions to documentation

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3d-root-crown-analysis-pipeline/xrcap/rootCrownImageAnalysis3D.py

Lines 286 to 293 in da0cb02

pca = PCA(n_components = 3)
latent = pca.fit(all_pts).explained_variance_
elong=math.sqrt(latent[1]/latent[0])
flat=math.sqrt(latent[2]/latent[1])
pca = PCA(n_components = 2)
latent = pca.fit(all_pts[:, [0, 1]]).explained_variance_
football=math.sqrt(latent[1]/latent[0])

@tparkerd tparkerd added the documentation Improvements or additions to documentation label May 18, 2022
@tparkerd tparkerd self-assigned this May 18, 2022
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