dimRed

Method AUC_lnK_R_NX

AutoEncoder

Dimensionality Reduction via Regression

Diffusion Maps

Distributed Recursive Graph Layout

Independent Component Analysis

Fruchterman Reingold Graph Layout

Hessian Locally Linear Embedding

Isomap embedding

Graph Embedding via the Kamada Kawai Algorithm

Method LCMC

Locally Linear Embedding

Laplacian Eigenmaps

Metric Dimensional Scaling

Non-Negative Matrix Factorization

Principal Component Analysis

Principal Component Analysis with L1 error.

Method Q_NX

Method Q_global

Method Q_local

Method R_NX

Umap embedding

Converts to data.frame

Converts to dimRedData

Method cophenetic_correlation

Example Data Sets for dimensionality reduction

The dimRed package

Class "dimRedData"

Class "dimRedMethod"

dimRedMethodList

Class "dimRedResult"

Method distance_correlation

dispatches the different methods for dimensionality reduction

Method getData

Method getDimRedData

Method getMeta

Method getNDim

Method getOrgData

Method getOtherData

Method getPars

getRotationMatrix

getSuggests

Kernel PCA

makeKNNgraph

Maximize Correlation with the Axes

Method mean_R_NX

Mixing color ramps

Non-Metric Dimensional Scaling

Method ndims

Plotting of dimRed* objects

plot_R_NX

Method print

Quality Criteria for dimensionality reduction.

Method reconstruction_error

Method reconstruction_rmse

t-Distributed Stochastic Neighborhood Embedding

Method total_correlation