Tag: dimensionality-reduction

43 What is dimensionality reduction? What is the difference between feature selection and extraction? 2014-05-18T06:26:15.673

25 Machine learning techniques for estimating users' age based on Facebook sites they like 2014-05-17T09:16:18.823

20 How to do SVD and PCA with big data? 2014-09-25T08:40:59.467

17 Purpose of visualizing high dimensional data? 2015-11-26T04:28:17.827

12 Are t-sne dimensions meaningful? 2017-03-02T16:46:05.247

11 Nearest neighbors search for very high dimensional data 2014-08-14T00:50:51.103

9 High-dimensional data: What are useful techniques to know? 2015-01-25T22:52:23.437

9 Can closer points be considered more similar in T-SNE visualization? 2016-03-20T16:11:45.457

8 Improve the speed of t-sne implementation in python for huge data 2016-02-06T14:19:10.243

8 Why are autoencoders for dimension reduction symmetrical? 2017-10-13T05:25:23.793

7 Projecting data from $S^n$ to $S^2$ 2015-06-05T21:52:05.920

7 Why does "Depth = Semantic representation" in convolutional neural networks? 2016-09-08T23:14:59.327

6 t-SNE: Why equal data values are visually not close? 2017-05-17T12:58:12.303

5 Is there a particular order in which to do feature selection and sampling? 2016-08-05T09:10:52.093

4 Reduction of multiple answers to single variable 2014-11-18T09:07:00.867

4 Is it ok to interprete PCA plot this way? 2015-06-17T19:36:26.493

4 How to reduce dimensionality of audio data that comes in form of matrices and vectors? 2016-03-14T00:37:25.940

4 Can I apply Clustering algorithms to the result of Manifold Visualization Methods? 2016-03-31T12:42:21.497

4 Is mutual information symmetric? 2016-06-25T06:53:00.070

4 How to equalize the pairwise affinity perplexities when implementing t-SNE? 2016-11-22T16:09:21.413

4 One hot encoding alternatives for large categorical values? 2017-11-14T17:20:58.253

3 machine learning algorithms for 2d data? 2014-10-05T05:12:13.633

3 Dimension reduction for logical arrays 2014-11-14T08:53:21.510

3 Dimensionality and Manifold 2015-05-05T17:48:35.433

3 Various algorithms performance in a problem and what can be deduced about data and problem? 2015-05-15T13:51:50.087

3 Illustrating the dimensionality reduction done by a classification or regression model 2015-08-27T22:06:09.470

3 How exactly dependent variable is expressed in terms of independent variables using Partial Least Square Regression Method? 2016-02-08T06:38:59.600

3 feature redundancy 2016-06-17T23:30:03.107

3 Principal Component Analysis, Eigenvectors lying in the span of the observed data points? 2016-12-22T17:42:55.723

3 Can i do an incremental learning with sklearn implementation of Linear discriminant analysis? 2017-03-05T10:35:45.193

3 What are 2D dimensionality reduction algorithms good for? 2017-03-29T08:34:43.283

3 I have n dimensional data and I want to check integrity, can I downgrade to 2 dimensional feature space via PCA and do so? 2017-04-11T21:14:18.453

3 Dimensionality reduction with PCA limitations 2017-05-27T11:49:55.000

3 Non Deterministc Dimensionality reduction 2018-02-18T18:44:06.080

3 Applying dimensionality reduction on OneHotEncoded array 2018-02-19T12:51:27.787

2 Can I use unsupervised learning followed by supervised learning? 2014-08-16T11:05:43.353

2 Scikit Learn: KMeans Clustering 3D data over a time period (dimentionality reduction?) 2014-12-30T10:33:08.240

2 Online/incremental unsupervised dimensionality reduction for use with classification for event prediction 2015-09-07T16:14:16.143

2 Deciding about dimensionality reduction, classification and clustering? 2016-01-10T14:11:47.697

2 Free/open interactive softwares/plugins for end-users' high-dimensional data visualization 2016-03-17T05:49:24.920

2 Dimension Reduction - After or Before Train-Test Split 2016-08-23T08:58:00.587

2 Preserving explained variance while reducing dimensionality 2017-01-02T09:15:31.383

2 Multi-class text classification with LSTM in Keras 2017-02-14T03:24:29.140

2 Finding the relation between two dimensions in a multi-dimensional problem 2017-02-22T11:56:01.313

2 Tensor Decomposition in TensorFlow for multinomial time series dimensionality reduction 2017-05-23T19:11:58.487

2 Dimensionality reduction with known colinearity between features 2017-10-20T07:31:27.757

2 Bandwidth of the gaussian kernels in t-sne 2017-10-26T15:08:47.297

2 How to test trained PCA used for compression? 2017-11-18T14:08:00.540

1 Reducing the dimensionality of word embeddings 2015-07-28T17:54:23.927

1 Prepare data for SVM, Is it valid to normalise the data before and after PCA dimension reduction 2015-08-10T12:48:17.207

1 Optimal projection for data visualization 2015-10-15T13:29:08.780

1 What is a good explanation of Non Negative Matrix Factorization? 2016-02-18T04:25:38.627

1 Compute angle of vector in word2vec models 2016-04-02T11:03:48.257

1 Pruning and parameter reduction for decision trees 2016-06-24T08:43:11.603

1 about high-dimensional regression data 2016-08-03T02:12:00.623

1 Alternative Hunspell dictionary for stemming 2016-08-23T13:23:40.167

1 Multidimensional Scaling with Categorical Data 2016-09-30T08:56:03.210

1 How is dimensionality reduction achieved in Deep Belief Networks with Restricted Boltzmann Machines? 2016-11-16T16:53:01.463

1 PCA on matrix with large M and N 2016-11-28T16:12:14.203

1 Issue with Spark SVD 2017-03-15T05:37:14.407

1 PCA on Neural Networks dimensions reduction? 2017-03-21T06:34:13.777

1 Could data from a test set 'leak' into predictor during PCA? 2017-05-28T21:23:23.203

1 How to deal with disconnected components in isomap? 2017-10-03T06:35:58.003

1 Link between Correspondance Analysis and MCA 2017-10-27T14:07:11.290

1 What should we do with the construction of a classifier (e.g., NN) if we have more number of input features? 2017-12-04T07:37:12.080

1 How to choose variables for regression 2018-02-14T02:13:20.363

1 How to use pca results for linear regression 2018-03-06T21:23:44.933

0 Principal components analysis with compositional data 2016-06-04T05:36:50.047

0 Does PCA change the values of the data? 2016-07-07T13:47:49.720

0 Could principle component decomposed coordinates value be correlated to each other? 2016-07-21T21:40:14.060

0 Feature selection with linear interaction between variables and correlation with categorical response variable 2016-08-01T14:48:46.027

0 Dimension reduction techniques in R that do not use the full distance matrix 2016-09-30T11:53:22.803

0 Difference between MDS and other manifold learning algorithms 2016-10-12T15:29:59.463

0 Modelling query in regression 2017-01-31T10:02:58.740

0 How to Interpret the output of PCA? 2017-03-28T18:09:44.277

0 How are the positions of the output nodes determined in the Kohonen - Self Organizing Maps algorithm? 2017-04-16T03:11:27.037

0 Feature agglomeration characteristics? 2017-05-08T19:55:28.213

0 TF-IDF + NMF (Non Negative Matrix Factorization) for feature reduction. Kaggle Two Sigma Connect: Rental Listing Inquiries competition) in R 2017-06-01T03:25:28.127

0 Why autoencoder generates similar results for all input? 2017-06-21T12:52:44.657

0 PCA or FDA on large data set 2017-10-20T16:50:05.003

0 Locally Linear Embedding 2017-11-16T11:42:05.477

0 How can I reduce data size using KPCA for larger features than observations? 2017-12-07T03:34:08.767

0 Some questions about feature hashing in the context of document classification 2017-12-20T03:35:13.573

0 Oblique rotation of the loading matrix of mixed (numeric + categorical) data [PCA/MCA] 2017-12-26T05:58:15.847

0 What is local-NMF? How is it better than original NMF? 2017-12-29T05:55:08.317

0 Which dissimilarity/similarity measure use after a dimension reduction ( PCA / AutoEncoder / ... )? 2018-02-03T15:18:33.053

0 How can I reduce dimention using Deep Belief Network? 2018-02-09T06:22:46.747

0 Including the dependent variable in your data to perform principal component analysis? 2018-02-15T02:14:52.607

0 Optimal dimensionality reduction methods for large square, mirrored, matrices (MxM)? 2018-02-24T18:59:19.507

0 How to augment data set after dimensionality reduction? 2018-02-28T10:52:08.693

0 Applying machine learning algorithms to subset of attributes in dataframe 2018-02-28T13:12:11.137