aux.gensamples          Generate model-based samples
aux.graphnbd            Construct Nearest-Neighborhood Graph
aux.kernelcov           Build a centered kernel matrix K
aux.pkgstat             Show the number of functions for 'Rdimtools'.
aux.preprocess          Preprocessing the data
aux.shortestpath        Find shortest path using Floyd-Warshall
                        algorithm
do.adr                  Adaptive Dimension Reduction
do.ammc                 Adaptive Maximum Margin Criterion
do.anmm                 Average Neighborhood Margin Maximization
do.asi                  Adaptive Subspace Iteration
do.bmds                 Bayesian Multidimensional Scaling
do.bpca                 Bayesian Principal Component Analysis
do.cca                  Canonical Correlation Analysis
do.cge                  Constrained Graph Embedding
do.cisomap              Conformal Isometric Feature Mapping
do.cnpe                 Complete Neighborhood Preserving Embedding
do.crca                 Curvilinear Component Analysis
do.crda                 Curvilinear Distance Analysis
do.crp                  Collaborative Representation-based Projection
do.cscore               Constraint Score
do.cscoreg              Constraint Score using Spectral Graph
do.dagdne               Double-Adjacency Graphs-based Discriminant
                        Neighborhood Embedding
do.disr                 Diversity-Induced Self-Representation
do.dm                   Diffusion Maps
do.dne                  Discriminant Neighborhood Embedding
do.dppca                Dual Probabilistic Principal Component Analysis
do.dspp                 Discriminative Sparsity Preserving Projection
do.dve                  Distinguishing Variance Embedding
do.elde                 Exponential Local Discriminant Embedding
do.elpp2                Enhanced Locality Preserving Projection (2013)
do.enet                 Elastic Net Regularization
do.eslpp                Extended Supervised Locality Preserving
                        Projection
do.extlpp               Extended Locality Preserving Projection
do.fa                   Exploratory Factor Analysis
do.fastmap              FastMap
do.fosmod               Forward Orthogonal Search by Maximizing the
                        Overall Dependency
do.fscore               Fisher Score
do.fssem                Feature Subset Selection using
                        Expectation-Maximization
do.hydra                Hyperbolic Distance Recovery and Approximation
do.ica                  Independent Component Analysis
do.idmap                Interactive Document Map
do.iltsa                Improved Local Tangent Space Alignment
do.isomap               Isometric Feature Mapping
do.isoproj              Isometric Projection
do.ispe                 Isometric Stochastic Proximity Embedding
do.keca                 Kernel Entropy Component Analysis
do.klde                 Kernel Local Discriminant Embedding
do.klfda                Kernel Local Fisher Discriminant Analysis
do.klsda                Kernel Locality Sensitive Discriminant Analysis
do.kmfa                 Kernel Marginal Fisher Analysis
do.kmmc                 Kernel Maximum Margin Criterion
do.kmvp                 Kernel-Weighted Maximum Variance Projection
do.kpca                 Kernel Principal Component Analysis
do.kqmi                 Kernel Quadratic Mutual Information
do.ksda                 Kernel Semi-Supervised Discriminant Analysis
do.kudp                 Kernel-Weighted Unsupervised Discriminant
                        Projection
do.lamp                 Local Affine Multidimensional Projection
do.lapeig               Laplacian Eigenmaps
do.lasso                Least Absolute Shrinkage and Selection Operator
do.lda                  Linear Discriminant Analysis
do.ldakm                Combination of LDA and K-means
do.lde                  Local Discriminant Embedding
do.ldp                  Locally Discriminating Projection
do.lea                  Locally Linear Embedded Eigenspace Analysis
do.lfda                 Local Fisher Discriminant Analysis
do.lisomap              Landmark Isometric Feature Mapping
do.lle                  Locally Linear Embedding
do.llle                 Local Linear Laplacian Eigenmaps
do.llp                  Local Learning Projections
do.lltsa                Linear Local Tangent Space Alignment
do.lmds                 Landmark Multidimensional Scaling
do.lpca2006             Locally Principal Component Analysis by Yang et
                        al. (2006)
do.lpe                  Locality Pursuit Embedding
do.lpfda                Locality Preserving Fisher Discriminant
                        Analysis
do.lpmip                Locality-Preserved Maximum Information
                        Projection
do.lpp                  Locality Preserving Projection
do.lqmi                 Linear Quadratic Mutual Information
do.lscore               Laplacian Score
do.lsda                 Locality Sensitive Discriminant Analysis
do.lsdf                 Locality Sensitive Discriminant Feature
do.lsir                 Localized Sliced Inverse Regression
do.lsls                 Locality Sensitive Laplacian Score
do.lspe                 Locality and Similarity Preserving Embedding
do.lspp                 Local Similarity Preserving Projection
do.ltsa                 Local Tangent Space Alignment
do.mcfs                 Multi-Cluster Feature Selection
do.mds                  (Classical) Multidimensional Scaling
do.mfa                  Marginal Fisher Analysis
do.mifs                 Mutual Information for Selecting Features
do.mlie                 Maximal Local Interclass Embedding
do.mmc                  Maximum Margin Criterion
do.mmds                 Metric Multidimensional Scaling
do.mmp                  Maximum Margin Projection
do.mmsd                 Multiple Maximum Scatter Difference
do.modp                 Modified Orthogonal Discriminant Projection
do.msd                  Maximum Scatter Difference
do.mve                  Minimum Volume Embedding
do.mvp                  Maximum Variance Projection
do.mvu                  Maximum Variance Unfolding / Semidefinite
                        Embedding
do.nnp                  Nearest Neighbor Projection
do.nolpp                Nonnegative Orthogonal Locality Preserving
                        Projection
do.nonpp                Nonnegative Orthogonal Neighborhood Preserving
                        Projections
do.npca                 Nonnegative Principal Component Analysis
do.npe                  Neighborhood Preserving Embedding
do.nrsr                 Non-convex Regularized Self-Representation
do.odp                  Orthogonal Discriminant Projection
do.olda                 Orthogonal Linear Discriminant Analysis
do.olpp                 Orthogonal Locality Preserving Projection
do.onpp                 Orthogonal Neighborhood Preserving Projections
do.opls                 Orthogonal Partial Least Squares
do.pca                  Principal Component Analysis
do.pfa                  Principal Feature Analysis
do.pflpp                Parameter-Free Locality Preserving Projection
do.phate                Potential of Heat Diffusion for Affinity-based
                        Transition Embedding
do.plp                  Piecewise Laplacian-based Projection (PLP)
do.pls                  Partial Least Squares
do.ppca                 Probabilistic Principal Component Analysis
do.procrustes           Feature Selection using PCA and Procrustes
                        Analysis
do.ree                  Robust Euclidean Embedding
do.rlda                 Regularized Linear Discriminant Analysis
do.rndproj              Random Projection
do.rpca                 Robust Principal Component Analysis
do.rpcag                Robust Principal Component Analysis via
                        Geometric Median
do.rsir                 Regularized Sliced Inverse Regression
do.rsr                  Regularized Self-Representation
do.sammc                Semi-Supervised Adaptive Maximum Margin
                        Criterion
do.sammon               Sammon Mapping
do.save                 Sliced Average Variance Estimation
do.sda                  Semi-Supervised Discriminant Analysis
do.sdlpp                Sample-Dependent Locality Preserving Projection
do.sir                  Sliced Inverse Regression
do.slpe                 Supervised Locality Pursuit Embedding
do.slpp                 Supervised Locality Preserving Projection
do.sne                  Stochastic Neighbor Embedding
do.spc                  Supervised Principal Component Analysis
do.spca                 Sparse Principal Component Analysis
do.spe                  Stochastic Proximity Embedding
do.specs                Supervised Spectral Feature Selection
do.specu                Unsupervised Spectral Feature Selection
do.splapeig             Supervised Laplacian Eigenmaps
do.spmds                Spectral Multidimensional Scaling
do.spp                  Sparsity Preserving Projection
do.spufs                Structure Preserving Unsupervised Feature
                        Selection
do.ssldp                Semi-Supervised Locally Discriminant Projection
do.tsne                 t-distributed Stochastic Neighbor Embedding
do.udfs                 Unsupervised Discriminative Features Selection
do.udp                  Unsupervised Discriminant Projection
do.ugfs                 Unsupervised Graph-based Feature Selection
do.ulda                 Uncorrelated Linear Discriminant Analysis
do.uwdfs                Uncorrelated Worst-Case Discriminative Feature
                        Selection
do.wdfs                 Worst-Case Discriminative Feature Selection
est.Ustat               ID Estimation with Convergence Rate of
                        U-statistic on Manifold
est.boxcount            Box-counting Dimension
est.clustering          Intrinsic Dimension Estimation via Clustering
est.correlation         Correlation Dimension
est.danco               Intrinsic Dimensionality Estimation with DANCo
est.gdistnn             Intrinsic Dimension Estimation based on
                        Manifold Assumption and Graph Distance
est.incisingball        Intrinsic Dimension Estimation with Incising
                        Ball
est.made                Manifold-Adaptive Dimension Estimation
est.mindkl              MiNDkl
est.mindml              MINDml
est.mle1                Maximum Likelihood Esimation with Poisson
                        Process
est.mle2                Maximum Likelihood Esimation with Poisson
                        Process and Bias Correction
est.nearneighbor1       Intrinsic Dimension Estimation with
                        Near-Neighbor Information
est.nearneighbor2       Near-Neighbor Information with Bias Correction
est.packing             Intrinsic Dimension Estimation using Packing
                        Numbers
est.pcathr              PCA Thresholding with Accumulated Variance
est.twonn               Intrinsic Dimension Estimation by a Minimal
                        Neighborhood Information
iris                    Load Iris data
oos.linproj             OOS : Linear Projection
usps                    Load USPS handwritten digits data
