pca

Background

  • Background

Installation

  • Installation
  • Uninstalling

Methods

  • Algorithm
  • Standardization
  • Explained Variance
  • Loadings
  • Examination of the loadings
  • Best Performing Features

Outlier detection

  • Hotelling T2
  • SPE/Dmodx
  • Selection of the Outliers
  • Detect new unseen outliers
  • Detection of outliers without PCA

Plots

  • Load dataset
  • Scatter plot
  • Biplot
  • Biplot (only arrows)
  • Explained variance plot
  • Alpha Transparency
  • Markers
  • Control color/marker/size per sample
  • 3D plots
  • Toggle visible status
  • Control Arrows

Examples

  • Quickstart
  • Demonstration of feature importance
  • Analyzing Discrete datasets
  • Map unseen datapoints into fitted space
  • Normalizing out PCs
  • Colors in plots
  • Notebook

Documentation

  • Sponsor
  • Blog
  • Github
  • Colab Notebook
  • Citing
  • Additional Information
  • Coding quality
  • API References
Index
pca
  • Index

Index

B | C | F | H | I | M | N | P | S | T

B

  • biplot() (pca.pca.pca method)
  • biplot3d() (pca.pca.pca method)

C

  • compute_outliers() (pca.pca.pca method)
  • compute_topfeat() (pca.pca.pca method)
  • convert_verbose_to_old() (in module pca.pca)

F

  • fit_transform() (pca.pca.pca method)

H

  • hotellingsT2() (in module pca.pca)

I

  • import_example() (in module pca.pca)
    • (pca.pca.pca method)

M

  • module
    • pca.pca
  • multitest_correction() (in module pca.pca)

N

  • norm() (pca.pca.pca method)
  • normalize_size() (in module pca.pca)

P

  • pca (class in pca.pca)
  • pca.pca
    • module
  • plot() (pca.pca.pca method)

S

  • scatter() (pca.pca.pca method)
  • scatter3d() (pca.pca.pca method)
  • spe_dmodx() (in module pca.pca)

T

  • transform() (pca.pca.pca method)

© Copyright 2022, Erdogan Taskesen.

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