pca related queries in StatsXchanger | QueryXchanger

Using PCA in domain adaptation

machine-learning pca transfer-learning domain-adaptation
Updated January 17, 2019 19:19 PM

Using a correlation matrix to predict pca loadings

pca
Updated January 17, 2019 07:19 AM

How do I use principal components as predictors in linear regression?

r regression pca
Updated January 16, 2019 02:19 AM

Is it normal for principle components to have the same SD?

r pca standard-deviation
Updated January 15, 2019 18:19 PM

How to quantify the agreement between the same parameter from two different data sets

pca pdf trend histogram
Updated January 14, 2019 18:19 PM

Dealing with correlated variables and choosing between models

regression correlation pca residuals statsmodels
Updated January 12, 2019 19:19 PM

How to construct PCA projections uncorrelated with another variable?

pca
Updated January 11, 2019 14:19 PM

Determining the Direction of Eigenvectors in PCA

r pca interpretation dimensionality-reduction eigenvalues
Updated January 11, 2019 12:19 PM

How to handle missing data in PPCA

machine-learning pca artificial-intelligence
Updated January 10, 2019 13:19 PM

Idea behind change of basis and how it relates to projecting your points onto principal components

pca intuition linear-algebra svd eigenvalues
Updated January 09, 2019 22:19 PM

Can I use PCA after lasso variable selection?

pca lasso
Updated January 09, 2019 19:19 PM

How to use log probabilities in PCA mixture EM algorithm

distributions pca expectation-maximization
Updated January 09, 2019 17:19 PM

Promax PCA interpretation in order to validate singular items - Structure or Pattern Matrix?

pca factor-analysis
Updated January 09, 2019 11:19 AM

Using PCA, clustering, and LDA together

classification clustering pca discriminant-analysis
Updated January 09, 2019 07:19 AM

Kmeans clustering results on pca dataset reduction

r pca k-means
Updated January 08, 2019 20:19 PM

LDA - solving singularity problem of within classes matrix

pca discriminant-analysis
Updated January 07, 2019 23:19 PM

Principal Component Analysis Singluar value

pca
Updated January 07, 2019 18:19 PM

When does PCA have zero distortion?

pca dimensionality-reduction unsupervised-learning eigenvalues
Updated January 07, 2019 11:19 AM

PCA: violation of the normal normal distribution assumption

normal-distribution pca
Updated January 06, 2019 10:19 AM

Normalizing vs Scaling before PCA

clustering pca scikit-learn
Updated January 05, 2019 20:19 PM

How do I calculate my RCs for SSA for prediction (like I would for principle components)?

neural-networks pca spectral-analysis
Updated January 04, 2019 23:19 PM

Link between pca and mca

machine-learning mathematical-statistics pca multivariate-analysis descriptive-statistics
Updated January 04, 2019 16:19 PM

Smoothing of experimental data for PCA

pca smoothing
Updated January 04, 2019 15:19 PM

How to find complete log likelihood for mixture of PPCA

probability pca
Updated January 04, 2019 14:19 PM

Principal component analysis for variable reduction

classification pca multivariate-analysis
Updated January 04, 2019 14:19 PM

Visualizing multiple "histograms" (bar-charts)

pca data-visualization histogram barplot
Updated January 04, 2019 10:19 AM

How to interpret a given 2D co-variance matrix?

machine-learning pca covariance covariance-matrix large-data
Updated January 03, 2019 17:19 PM

PCA to recover factors used during data generation. Why doesn't it work?

pca simulation causality
Updated January 02, 2019 16:19 PM

How does the three-component PCA model in Bishop and Tipping 1999 work?

pca
Updated January 02, 2019 15:19 PM

Is there anything like PCA that builds a tree intead of just clusters?

pca
Updated January 02, 2019 14:19 PM

If I center my kernel does it no longer remain positive semidefinite?? If so why is it being used in algorithms like kernel pca?

pca svm kernel-trick ridge-regression
Updated January 02, 2019 07:19 AM

Equity Risk Model using an autoencoder

pca autoencoders
Updated December 29, 2018 15:19 PM

Feature reduction of Biological time series signals

time-series pca feature-selection dimensionality-reduction feature-engineering
Updated December 29, 2018 02:19 AM

PCA: should standardization be applied on features or samples?

machine-learning pca normalization standardization
Updated December 29, 2018 00:19 AM

Detecting insufficient communalities in R

r pca factor-analysis
Updated December 27, 2018 13:19 PM

Use PCA to discover the most impactful variables on the original data set?

pca feature-selection
Updated December 26, 2018 20:19 PM

Interpreting PCA with varimax rotation

r pca factor-analysis factor-rotation
Updated December 26, 2018 19:19 PM

PCA used for regression

regression pca
Updated December 26, 2018 17:19 PM

primary use of PCA

regression pca
Updated December 25, 2018 19:19 PM

PCA giving zero for all loadings

machine-learning classification pca
Updated December 25, 2018 09:19 AM

is it necessary to have same scale of IDV in PCA

pca factor-analysis
Updated December 25, 2018 08:19 AM

What is connection between Pearson correlation coefficient and proportion of variance explained in PCA?

regression pca dimensionality-reduction
Updated December 24, 2018 11:19 AM

Names of PCA components

r pca biostatistics bioinformatics
Updated December 21, 2018 14:19 PM

In PCA: Why are loadings = sqrt(eigenvalue)*eigenvector matheamtically?

pca
Updated December 20, 2018 11:19 AM

PCA on scaled data: does this mean loadings =eigenvalue=correlation

pca
Updated December 19, 2018 15:19 PM

Screening data prior to PCA v. PLS

pca partial-least-squares
Updated December 19, 2018 07:19 AM

Units in Principle Component Analysis

pca units
Updated December 17, 2018 15:19 PM

Statistically correct to apply Multi-dimensional scaling or PCA to cosine similarity matrix?

r pca multidimensional-scaling cosine-similarity
Updated December 15, 2018 13:19 PM

How many dimensions can I use with model based clustering (mclust)?

clustering pca model-based-clustering
Updated December 15, 2018 08:19 AM

Nipals and prcomp differences and data size relationship

r pca dimensionality-reduction
Updated December 14, 2018 22:19 PM

pca related issues & queries in StatsXchanger