pca related issues & queries in StatsXchanger

When to prefer PCA over regularization methods in regression?

regression pca dimensionality-reduction regularization large-data
Updated June 25, 2019 06:19 AM

What kind of statistical test is appropriated for the following example?

r hypothesis-testing correlation pca
Updated June 24, 2019 22:19 PM

Questions about calculate the first k-th principal components of VR-PCA?

variance pca stochastic-processes gradient-descent
Updated June 24, 2019 12:19 PM

Why does kmeans after SVD result in ideal clusters

clustering pca k-means svd
Updated June 23, 2019 14:19 PM

What is the formula for estimating confidence ellipses from a PCA projection with multiple groups?

confidence-interval pca ellipse
Updated June 22, 2019 08:19 AM

Is data visualization a sufficient indication for the separability of the data? What are other indications of data separation?

classification pca data-visualization pattern-recognition
Updated June 21, 2019 21:19 PM

Parallel analysis for principle components analysis and Multi-dimensional scaling

r pca eigenvalues multidimensional-scaling parallel-analysis
Updated June 21, 2019 19:19 PM

PCA in R without deleting or imputing missing values

r pca missing-data
Updated June 21, 2019 16:19 PM

identifying what has changed in the data year on year

classification pca meta-analysis correspondence-analysis
Updated June 21, 2019 09:19 AM

Python Factor Analyzer and PCA

python pca factor-analysis
Updated June 21, 2019 03:19 AM

Data augmentation for animal measurements

machine-learning pca markov-process data-augmentation
Updated June 20, 2019 03:19 AM

4D linear regression on point-cloud

regression pca spatial
Updated June 19, 2019 08:19 AM

How to mirror PCA results?

r pca
Updated June 18, 2019 14:19 PM

PCA with unbalanced percentual data

pca
Updated June 18, 2019 10:19 AM

Dimension reduction for multivariate spatio-temporal data for hurricanes forecast

machine-learning time-series forecasting pca spatio-temporal
Updated June 18, 2019 09:19 AM

Problem with Principal component (PCA) and Partial least squares (PLS) using R

r pca dimensionality-reduction partial-least-squares
Updated June 17, 2019 09:19 AM

What do ellipses of PCA analysis (factoextra) mean?

pca
Updated June 16, 2019 17:19 PM

R prcomp and KNN different correct classification rate

r classification pca k-nearest-neighbour
Updated June 16, 2019 09:19 AM

How to get non-standardized factor scores

r pca factor-analysis
Updated June 15, 2019 16:19 PM

Statistical technique to combine scores from multiple tests

machine-learning pca statsmodels
Updated June 15, 2019 16:19 PM

What is the intuitive reason behind doing rotations in Factor Analysis/PCA & how to select appropriate rotation?

pca interpretation factor-analysis dimensionality-reduction factor-rotation
Updated June 14, 2019 16:19 PM

Interpretation of Eigenvalue vs. Singular Value plot

pca feature-selection svd eigenvalues matrix-decomposition
Updated June 14, 2019 12:19 PM

Customizing PCA biplot - shapes and colors for variables

pca
Updated June 14, 2019 02:19 AM

Could this data be generalized by machine learning?

machine-learning pca
Updated June 14, 2019 00:19 AM

pca gives a new set of variables to us?

pca
Updated June 12, 2019 15:19 PM

substraction between features before PCA and a classification model

pca dimensionality-reduction feature-engineering differences
Updated June 09, 2019 18:19 PM

Eigenvectors - principle lines of force

pca data-transformation covariance-matrix eigenvalues
Updated June 09, 2019 12:19 PM

Clustering of Fourier Coefficients

clustering pca fourier-transform
Updated June 09, 2019 09:19 AM

PCS vs SVD: difference in denoising applications

pca svd
Updated June 08, 2019 21:19 PM

How to identify Correlated Features with given Variance

machine-learning correlation mathematical-statistics pca
Updated June 08, 2019 16:19 PM

EOF/ PCA: do I need to detrend my multivariate time series before finding Empirical Orthogonal Functions?

time-series pca dimensionality-reduction
Updated June 07, 2019 18:19 PM

Centering input data for Robust PCA (RPCA)?

pca robust data-preprocessing centering
Updated June 07, 2019 08:19 AM

Principal component analysis on RGB images

pca image-processing
Updated June 06, 2019 13:19 PM

Ellipses from a covariance matrix in R´s Principal Component Analysis

pca covariance-matrix correlation-matrix ellipse
Updated June 06, 2019 02:19 AM

How is it helpful using dimensionality reduction technique such as TSNE/PCA on one-hot encoded text data?

machine-learning pca natural-language tsne bag-of-words
Updated June 05, 2019 15:19 PM

Clustering or classification to demonstrate that a yeast disease model is similar to a human disease

r classification clustering pca
Updated June 04, 2019 21:19 PM

Can I obtain original data by multiplying varimax-rotated principal components with varimax-rotated unit length loadings?

pca factor-analysis factor-rotation
Updated May 31, 2019 22:19 PM

Do we lose the bias after PCA?

regression pca bias
Updated May 31, 2019 14:19 PM

Determine missing eigenvalues given only correlations between variables and components

correlation pca eigenvalues
Updated May 30, 2019 19:19 PM

Using PCA vs Linear Regression

regression pca
Updated May 29, 2019 08:19 AM

Using Linear Regression on Principal Components in R studio

regression pca linear
Updated May 27, 2019 14:19 PM

Estimation of NegEntropy in MATLAB

pca matlab entropy signal-processing ica
Updated May 25, 2019 11:19 AM

Should a factor analysis (for construct validity) be performed in a section of a test that is meant to measure knowledge in a specific subject?

pca factor-analysis psychometrics confirmatory-factor
Updated May 25, 2019 00:19 AM

Is it possible that PCA works better without data scaling?

machine-learning pca data-transformation hierarchical-clustering
Updated May 24, 2019 07:19 AM

Image dimension reduction using pca

pca python dimensionality-reduction
Updated May 23, 2019 21:19 PM

Mahalanobis distance via PCA when $n<p$

correlation pca genetics covariance distance-functions
Updated May 23, 2019 17:19 PM

How to get PC values for individual datapoints using the prcomp command for PCA in R-Studio

r pca
Updated May 23, 2019 16:19 PM

Feature Selection Pipeline - Combining PCA and SelectKBest with Chi2 Test

classification pca chi-squared feature-selection
Updated May 23, 2019 03:19 AM

Factor Analysis and loading

pca spss interpretation factor-analysis
Updated May 23, 2019 00:19 AM

Factor Analysis PCA - Interpreting SPSS Pattern & Structure Matrix

pca spss interpretation factor-analysis
Updated May 22, 2019 12:19 PM

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