pca: A Python Package for Principal Component Analysis.
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Updated
May 17, 2024 - Jupyter Notebook
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hotelling-t2
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Python implementation of the control charts used for process monitoring and anomaly detection
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Updated
Jun 18, 2023 - Python
The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates, semi-minor, and semi-major axes lengths.
pca
outliers
rstats
principal-component-analysis
partial-least-squares-regression
pls
confidence-ellipse
hotelling-t2
hotelling-s-t-square
hotelling-ellipse
multivariate-distribution
hotellings-t2-distribution
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Jul 4, 2024 - R
Hotellings T^2 Statistics Two sample Problem
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Nov 21, 2019
Analyze a dataset on muscular dystrophy and make statistical inferences
data-science
statistical-analysis
logistic-regression
k-means-clustering
linear-discriminant-analysis-lda
hotelling-t2
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Updated
Jan 28, 2023 - Jupyter Notebook
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