dimRed0.2.7 package

Converts to data.frame

Converts to dimRedData

Method AUC_lnK_R_NX

Method cophenetic_correlation

Example Data Sets for dimensionality reduction

Diffusion Maps

The dimRed package

Class "dimRedData"

Class "dimRedMethod"

dimRedMethodList

Class "dimRedResult"

Method distance_correlation

Distributed Recursive Graph Layout

Dimensionality Reduction via Regression

dispatches the different methods for dimensionality reduction

Independent Component Analysis

Fruchterman Reingold Graph Layout

Method getData

Method getDimRedData

Method getMeta

Method getNDim

Method getOrgData

Method getOtherData

Method getPars

getRotationMatrix

Hessian Locally Linear Embedding

getSuggests

Isomap embedding

Graph Embedding via the Kamada Kawai Algorithm

Kernel PCA

Method LCMC

makeKNNgraph

Maximize Correlation with the Axes

Metric Dimensional Scaling

Method mean_R_NX

Mixing color ramps

Method ndims

Non-Metric Dimensional Scaling

Non-Negative Matrix Factorization

Principal Component Analysis with L1 error.

Principal Component Analysis

plot_R_NX

Plotting of dimRed* objects

Method print

Method Q_global

Method Q_local

Method Q_NX

Quality Criteria for dimensionality reduction.

Method R_NX

Method reconstruction_error

Method reconstruction_rmse

Method total_correlation

t-Distributed Stochastic Neighborhood Embedding

Umap embedding