pca related queries in StatsXchanger

Identifying the most similar samples through pairwise euclidean distance among features- How to find features importance?

pca similarities euclidean
Updated March 21, 2019 19:19 PM

PCA based on group variables in R

r pca
Updated March 21, 2019 18:19 PM

What is the difference between PCA and Mahalanobis?

pca distance-functions
Updated March 21, 2019 17:19 PM

SVD matrixes do not coincide with Eigen decomposition for covariance matrix

pca python scikit-learn covariance-matrix svd
Updated March 20, 2019 23:19 PM

Can singular spectrum analysis (SSA) be used on principal component scores for multivariate non-stationary time series?

r time-series pca
Updated March 20, 2019 20:19 PM

Principal Components' relation with variables having lower variance

machine-learning pca dimensionality-reduction
Updated March 20, 2019 19:19 PM

How can I implement this Robust PCA equation in a more efficient way?

machine-learning pca python least-squares gradient-descent
Updated March 20, 2019 17:19 PM

Should I normalise my data for PCA, Sammon and SOM mapping?

machine-learning pca normalization
Updated March 17, 2019 12:19 PM

PCA on numerical, categorical and binary data

clustering categorical-data pca binary-data unsupervised-learning
Updated March 17, 2019 07:19 AM

Partial Least Square vs Principle Component Regression

pca partial-least-squares
Updated March 17, 2019 05:19 AM

R function PRCOMP Doesn't project my 2D cloud onto the principal vector as expected

r pca
Updated March 16, 2019 18:19 PM

how to get pca datatesting? (preprocessing using pca)

machine-learning pca data-transformation artificial-intelligence
Updated March 16, 2019 16:19 PM

Understanding the example in ?prcomp (R)

r pca
Updated March 16, 2019 01:19 AM

Clustering Principal Components

pca hierarchical-clustering
Updated March 15, 2019 20:19 PM

r: dimensionality reduction with PCA in raster brick

r pca svd
Updated March 15, 2019 11:19 AM

Why do I get an error with this data using principal axis factoring but not minimal residual factoring?

pca factor-analysis dimensionality-reduction confirmatory-factor
Updated March 14, 2019 23:19 PM

How can I recover full dimensional VAR model coefficients after fitting a VAR model to a dimensionality reduced (via PCA) dataset?

time-series pca dimensionality-reduction var projection
Updated March 14, 2019 22:19 PM

Factor Analysis: Single variable contributing to several latent variables

pca factor-analysis dimensionality-reduction
Updated March 14, 2019 16:19 PM

Principal component weights flipped after PCA

pca
Updated March 13, 2019 17:19 PM

Is it legitimate to use PCA on scale totals (rather than individual questions) to uncover latent variables (Social Science/Psychology)?

pca spss factor-analysis psychology
Updated March 13, 2019 16:19 PM

What is the meaning of these principle components?

pca dataset svd
Updated March 13, 2019 01:19 AM

SVD PCA reconstruction of data

pca feature-construction svd
Updated March 12, 2019 21:19 PM

Does it make sense to apply PCA or Z-Score to any dataset?

machine-learning pca dataset normalization
Updated March 12, 2019 16:19 PM

How do you perform a good Dynamic principal component analysis (DPCA) in R?

r time-series pca
Updated March 12, 2019 02:19 AM

PCA model selection using AIC (or BIC)

pca model-selection
Updated March 10, 2019 13:19 PM

Are there any advantages to using all principal components vs. all original variables?

machine-learning pca
Updated March 10, 2019 03:00 AM

How to use BIC Criterion to select number of PCs in PCA?

pca bic
Updated March 09, 2019 23:19 PM

Is it right to use PCA in this scenario?

pca eigenvalues
Updated March 09, 2019 20:19 PM

Interpolating principal component

regression machine-learning pca econometrics feature-construction
Updated March 09, 2019 19:19 PM

Chossing between high number of components in PCR vs linear regresion

regression pca cross-validation linear
Updated March 09, 2019 10:19 AM

Is it problematic to include negatively correlated variables in a K-Means estimator?

clustering pca k-means dimensionality-reduction
Updated March 08, 2019 19:19 PM

Use historical data to build surface with limited number of points

time-series pca data-visualization interpretation dataset
Updated March 08, 2019 15:19 PM

Skewed variables in PCA or factor analysis

pca factor-analysis dimensionality-reduction skewness
Updated March 08, 2019 12:19 PM

Is eigenspace based classification possible

classification pca eigenvalues
Updated March 07, 2019 17:19 PM

Uncorrelated Data and PCA - Supervised Learning Problem

pca feature-selection dimensionality-reduction
Updated March 07, 2019 12:19 PM

What is the formula for calculation of `R_ij` in `numpy.corrcoef(x, y, rowvar = False)`?

correlation pca scikit-learn numpy
Updated March 07, 2019 08:19 AM

Using numpy SVD to calculate factor loadings

pca python factor-analysis svd numpy
Updated March 07, 2019 00:19 AM

How to automatically choose the number of components for PCA?

pca
Updated March 06, 2019 19:19 PM

Can I perform PCA on species count differences instead of species counts themselves?

r pca data-transformation ecology
Updated March 05, 2019 20:19 PM

Easy way for getting the lowest cross-validation error in pcr

pca cross-validation
Updated March 05, 2019 14:19 PM

Should Principal Component Analysis (PCA) axes always be from 1 to -1?

pca
Updated March 05, 2019 12:19 PM

stats::loadings(x = <princomp>, cutoff = n) ignores "cutoff" parameter

r pca
Updated March 04, 2019 22:19 PM

How to keep the numeric scale for PCA?

pca scikit-learn
Updated March 04, 2019 09:19 AM

Dimension Reduction for mixed variables

r pca dimensionality-reduction mixed-type-data
Updated March 04, 2019 08:19 AM

Number of components in optimal principal component regression model

regression pca
Updated March 03, 2019 23:19 PM

Number of factors in Factor Analysis of Mixed Data with FactoMineR

pca factor-analysis dimensionality-reduction
Updated March 01, 2019 11:19 AM

For calculating the distance between different points, does it make sense to use all Principal Components?

pca distance
Updated February 27, 2019 23:19 PM

Find a set of k non-negative vectors that explain most of the variance of the dataset?

pca unsupervised-learning
Updated February 27, 2019 19:19 PM

When the elements of first basis are always positive for PCA?

pca covariance-matrix eigenvalues
Updated February 27, 2019 13:19 PM

Question regarding the Supervised Principle Components method

pca survival cox-model
Updated February 27, 2019 09:19 AM

pca related issues & queries in StatsXchanger