pca related issues & queries in StatsXchanger

PCA vs. random projection

 pca dimensionality-reduction
Updated October 17, 2018 15:19 PM

Why eigen vectors should be normalised in a PCA?

 pca
Updated October 17, 2018 10:19 AM

What exact statistical method should I use to compare two samples of targeted DNA sequencing?

 correlation pca chi-squared sequence-analysis euclidean
Updated October 17, 2018 07:19 AM

I'm getting "jumpy" loadings in rollapply PCA in R. Can I fix it?

 r pca
Updated October 15, 2018 05:19 AM

What kind of PCA is best for my data?

 pca python scikit-learn dimensionality-reduction
Updated October 13, 2018 07:19 AM

Principal Component giving one component for each variable

 r pca
Updated October 12, 2018 13:19 PM

Grouping similar time series (clustering, cointegration)

 time-series pca k-means cointegration augmented-dickey-fuller
Updated October 12, 2018 09:19 AM

PCA Dimension Reduction for Cox Proportional Hazard Model

 pca survival cox-model dimensionality-reduction hazard
Updated October 11, 2018 23:19 PM

Does Column ordering matter in QR decomposition?

 pca linear-algebra svd qr
Updated October 10, 2018 20:19 PM

Calculate variance lost after clustering

 clustering variance pca sums-of-squares ward
Updated October 10, 2018 17:19 PM

PCA: mean of marginal distribution of high-dimensional vector

 pca mean expected-value dimensionality-reduction high-dimensional
Updated October 10, 2018 14:19 PM

Performing PCA on properly scaled data

 pca standardization
Updated October 10, 2018 12:19 PM

Principal Component

 machine-learning pca linear-algebra eigenvalues
Updated October 10, 2018 04:19 AM

Distribution of maximum variance explained by 1 variable

 pca multivariate-analysis joint-distribution multivariate-regression maximum
Updated October 09, 2018 08:19 AM

Survival Data optimal cutoff point for 2 indendent semiquantitative markers

 pca survival
Updated October 09, 2018 07:19 AM

How to test a PCA+classifier model?

 machine-learning classification pca cross-validation train
Updated October 08, 2018 12:19 PM

What are ways to project data from LDA (Linear Discriminant Analysis) subspace to original space?

 machine-learning pca discriminant-analysis
Updated October 07, 2018 20:19 PM

Data dimensionality reduction slow with PCA

 pca feature-selection dimensionality-reduction real-time
Updated October 06, 2018 15:19 PM

Are the Matrices of Scores and Loadings of a PCA unique/explicite?

 pca factor-analysis
Updated October 06, 2018 13:19 PM

Principal component analysis with grouped data and few replicates

 r pca experiment-design
Updated October 05, 2018 15:19 PM

PCA: High explained variance in just one principal component

 pca
Updated October 03, 2018 23:19 PM

Good article examples of PAF/PCA

 categorical-data pca factor-analysis rotation
Updated October 03, 2018 16:19 PM

How to draw eigenvectors of PCA?

 pca eigenvalues
Updated September 29, 2018 12:19 PM

PCA = Eigen decomposition of Covariance Matrix is Not True?

 pca scikit-learn linear-algebra numpy
Updated September 29, 2018 06:19 AM

t-SNE on principal component scores: standardization needed?

 pca data-visualization standardization tsne
Updated September 28, 2018 19:19 PM

PCA: If n is large enough, is it true that PCA components of n vectors are approximately equal to those of n+1 vectors?

 machine-learning clustering pca dimensionality-reduction data-preprocessing
Updated September 28, 2018 19:19 PM

Comparison of treatment differences in fully factorial design

 r anova generalized-linear-model pca fractional-factorial
Updated September 28, 2018 14:19 PM

When would you use PCA rather than LDA in classification?

 classification pca dimensionality-reduction discriminant-analysis
Updated September 28, 2018 11:19 AM

How to determine the appropriate number of PC component with different methods?

 r machine-learning pca
Updated September 27, 2018 14:19 PM

Building life-standard scale based on large highly skewed data.

 pca skewness scale-construction
Updated September 27, 2018 12:19 PM

Does Normalization is needed before PCA if I used the function prcomp and I set sacle to be TRUE?

 r machine-learning pca
Updated September 26, 2018 22:19 PM

PCA on a heterogenous correlation matrix better than MCA?

 correlation categorical-data pca multivariate-analysis correspondence-analysis
Updated September 25, 2018 20:19 PM

PCA on Correlation vs. Covariance matrices: application in Multiple Linear Regression models

 multiple-regression pca python multicollinearity
Updated September 25, 2018 16:19 PM

Why with two classes, LDA gives only one dimension

 pca python dimensionality-reduction discriminant-analysis
Updated September 25, 2018 09:19 AM

Exploratory Factor Analysis: summary

 pca factor-analysis dimensionality-reduction teaching
Updated September 24, 2018 20:19 PM

PCA panel data with triple id

 pca panel-data
Updated September 24, 2018 20:19 PM

Dimensionality reduction: purposes of specific algorithms

 pca factor-analysis dimensionality-reduction teaching
Updated September 24, 2018 20:19 PM

Comparing PCA representations between low-pass and high-pass filtered time-series data

 time-series pca dimensionality-reduction var signal-processing
Updated September 24, 2018 17:19 PM

How can multiple regression be performed as a sequence of univariate regressions?

 regression multiple-regression pca residuals intuition
Updated September 24, 2018 12:19 PM

How to recreate a particular image from PCA from a database of images?

 r pca
Updated September 24, 2018 05:19 AM

Application of Factor Analysis to a table of count data

 mathematical-statistics pca factor-analysis computational-statistics correspondence-analysis
Updated September 23, 2018 15:19 PM

Can you use factor analysis on a table has count data?

 mathematical-statistics pca multivariate-analysis factor-analysis correspondence-analysis
Updated September 21, 2018 20:19 PM

PCA on continuous and binary data - further explained

 pca
Updated September 21, 2018 15:19 PM

Regression with multidimensional output variable Y

 regression pca estimation dimensionality-reduction supervised-learning
Updated September 21, 2018 09:19 AM

Why are my first two eigenvectors inverted with respect to the first two PCs?

 r pca eigenvalues
Updated September 21, 2018 07:19 AM

Dimensionality reduction naive technique

 machine-learning pca dimensionality-reduction
Updated September 20, 2018 21:19 PM

Machine Learning point of view regarding the purpose of EFA

 machine-learning pca factor-analysis teaching
Updated September 20, 2018 20:19 PM

Should I use the covariance matrix for PCA on ecological data when I have species percent or number of species per gram

 pca
Updated September 20, 2018 11:19 AM

How to prove that new data fits old PCA

 correlation pca procrustes-analysis
Updated September 20, 2018 10:19 AM

Rotational invariance PPCA

 pca terminology factor-analysis
Updated September 18, 2018 20:19 PM
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