## Tag: pca

706 Making sense of principal component analysis, eigenvectors & eigenvalues 2010-09-15T20:05:55.993

215 Relationship between SVD and PCA. How to use SVD to perform PCA? 2015-01-20T23:47:22.433

170 What are the differences between Factor Analysis and Principal Component Analysis? 2010-08-12T03:46:05.987

116 What's the difference between principal component analysis and multidimensional scaling? 2011-08-08T19:52:36.947

108 PCA on correlation or covariance? 2010-07-19T19:39:08.483

87 Should one remove highly correlated variables before doing PCA? 2013-02-21T16:41:19.390

65 PCA and proportion of variance explained 2012-02-10T05:36:10.673

65 How to reverse PCA and reconstruct original variables from several principal components? 2016-08-09T23:52:47.187

57 What are principal component scores? 2010-07-20T05:37:46.557

55 What is the difference between R functions prcomp and princomp? 2011-12-21T10:36:42.370

52 Is PCA followed by a rotation (such as varimax) still PCA? 2010-07-25T14:31:31.773

48 What makes the Gaussian kernel so magical for PCA, and also in general? 2015-01-02T08:18:21.320

44 Best PCA algorithm for huge number of features (>10K)? 2010-09-18T02:08:24.590

44 Advanced statistics books recommendation 2012-07-27T16:15:18.070

41 Why do we need to normalize data before principal component analysis (PCA)? 2013-09-04T08:12:31.617

41 What is the difference between ZCA whitening and PCA whitening? 2014-10-01T07:22:41.143

37 Using principal component analysis (PCA) for feature selection 2012-04-28T15:39:44.010

36 How to determine significant principal components using bootstrapping or Monte Carlo approach? 2012-08-08T12:03:30.663

35 Loadings vs eigenvectors in PCA: when to use one or another? 2015-03-29T09:23:51.593

34 Linearity of PCA 2017-07-10T12:14:30.487

32 What is the relation between k-means clustering and PCA? 2015-11-23T22:42:12.097

31 PCA and Correspondence analysis in their relation to Biplot 2015-03-14T19:47:57.877

30 Visualizing a million, PCA edition 2011-03-03T22:59:23.757

30 How does Factor Analysis explain the covariance while PCA explains the variance? 2014-04-24T14:15:24.080

29 Detecting significant predictors out of many independent variables 2012-08-21T12:32:04.347

29 What're the differences between PCA and autoencoder? 2014-10-15T07:26:55.363

28 Interpretation of biplots in principal components analysis 2010-08-23T09:48:44.153

28 Dimensionality reduction (SVD or PCA) on a large, sparse matrix 2012-08-27T17:27:07.977

27 What is the objective function of PCA? 2011-05-02T23:10:16.580

27 Does the sign of scores or of loadings in PCA or FA have a meaning? May I reverse the sign? 2014-03-05T12:30:05.707

26 PCA on correlation or covariance: does PCA on correlation ever make sense? 2013-06-26T22:31:36.687

26 Would PCA work for boolean (binary) data types? 2015-07-02T21:20:16.067

25 How does centering the data get rid of the intercept in regression and PCA? 2012-02-06T06:45:59.213

25 How to perform dimensionality reduction with PCA in R 2013-04-28T00:11:21.620

24 Reversing PCA back to the original variables 2012-08-20T17:46:39.917

24 Minimum sample size for PCA or FA when the main goal is to estimate only few components? 2012-12-13T06:37:08.683

24 Why does Andrew Ng prefer to use SVD and not EIG of covariance matrix to do PCA? 2017-11-16T10:11:54.253

23 What can cause PCA to worsen results of a classifier? 2013-03-19T23:52:05.573

23 Interpretation of ridge regularization in regression 2014-12-22T14:20:21.327

22 Testing for linear dependence among the columns of a matrix 2011-10-01T17:46:37.323

22 Doing principal component analysis or factor analysis on binary data 2011-10-01T18:39:16.607

22 Best factor extraction methods in factor analysis 2013-02-24T14:36:08.563

22 Does it make sense to combine PCA and LDA? 2014-07-07T23:25:30.227

22 What's wrong with t-SNE vs PCA for dimensional reduction using R? 2014-11-07T07:49:08.697

21 Is PCA unstable under multicollinearity? 2011-04-14T04:51:15.753

21 PCA, LDA, CCA, and PLS 2012-02-20T02:13:59.337

21 How would PCA help with a k-means clustering analysis? 2015-06-18T18:25:27.230

21 Building an autoencoder in Tensorflow to surpass PCA 2016-01-11T10:35:20.537

20 PCA and the train/test split 2013-04-10T14:06:16.037

20 How to use R prcomp results for prediction? 2013-10-15T12:19:10.007

20 Properties of PCA for dependent observations 2016-08-02T10:46:36.370

19 What is the difference between PCA and asymptotic PCA? 2010-09-17T06:11:36.290

19 How to perform orthogonal regression (total least squares) via PCA? 2011-07-17T10:49:57.540

19 Examples of PCA where PCs with low variance are "useful" 2014-06-07T00:01:24.713

18 Why do the R functions 'princomp' and 'prcomp' give different eigenvalues? 2011-04-13T10:57:05.660

18 PCA when the dimensionality is greater than the number of samples 2012-05-22T03:24:32.610

18 LSA vs. PCA (document clustering) 2013-07-26T21:56:54.883

18 Why PCA of data by means of SVD of the data? 2013-12-09T11:03:49.170

18 Is there Factor analysis or PCA for ordinal or binary data? 2016-05-30T15:41:37.033

17 Functional principal component analysis (FPCA): what is it all about? 2012-02-17T10:36:16.783

17 I'm getting "jumpy" loadings in rollapply PCA in R. Can I fix it? 2012-08-15T20:13:00.667

17 Imputation of missing values for PCA 2012-09-02T10:47:57.310

17 How to understand "nonlinear" as in "nonlinear dimensionality reduction"? 2014-11-18T14:57:37.550

17 Are there cases where PCA is more suitable than t-SNE? 2016-10-05T08:22:17.113

16 "Normalizing" variables for SVD / PCA 2011-06-21T13:43:50.033

16 PCA of non-Gaussian data 2012-07-11T14:15:47.907

16 Low variance components in PCA, are they really just noise? Is there any way to test for it? 2014-02-19T18:38:01.713

16 Not normalizing data before PCA gives better explained variance ratio 2014-07-02T21:03:31.420

16 Geometric understanding of PCA in the subject (dual) space 2015-11-10T22:36:27.967

15 How to project a new vector onto PCA space? 2010-09-12T16:11:22.923

15 In genome wide association studies, what are principal components? 2011-03-25T16:39:10.923

15 Are robust methods really any better? 2012-08-02T01:24:20.753

15 Showing spatial and temporal correlation on maps 2013-10-10T05:52:03.253

15 Regression in \$p>n\$ setting: how to choose regularization method (Lasso, PLS, PCR, ridge)? 2014-07-20T18:54:30.103

15 Is there any advantage of SVD over PCA? 2014-10-23T11:39:57.050

15 Why are there only \$n-1\$ principal components for \$n\$ data if the number of dimensions is \$\ge n\$? 2014-11-09T19:22:35.597

15 How to interpret PCA on time-series data? 2014-11-25T16:59:49.607

15 Positioning the arrows on a PCA biplot 2015-03-10T04:52:29.430

14 Can one use multiple regression to predict one principal component (PC) from several other PCs? 2010-07-19T21:52:51.707

14 Interpreting PCA scores 2010-10-31T21:18:20.970

14 PCA objective function: what is the connection between maximizing variance and minimizing error? 2012-07-12T15:09:55.693

14 What exactly is called "principal component" in PCA? 2014-02-27T12:19:07.050

14 Is Kernel PCA with linear kernel equivalent to standard PCA? 2014-06-05T20:36:21.673

14 Weighted principal components analysis 2014-08-27T19:45:59.590

14 Are PCA components of multivariate Gaussian data statistically independent? 2015-02-18T15:39:42.203

14 What is the "horseshoe effect" and/or the "arch effect" in PCA / correspondence analysis? 2015-06-24T21:33:23.810

14 How does centering make a difference in PCA (for SVD and eigen decomposition)? 2016-01-08T10:57:05.150