| grassmann.runif | Generate Uniform Samples on Grassmann Manifold |
| grassmann.utest | Test of Uniformity on Grassmann Manifold |
| riem.clrq | Competitive Learning Riemannian Quantization |
| riem.fanova | Fr<c3><a9>chet Analysis of Variance |
| riem.fanovaP | Fr<c3><a9>chet Analysis of Variance |
| riem.hclust | Hierarchical Agglomerative Clustering |
| riem.interp | Geodesic Interpolation |
| riem.interps | Geodesic Interpolation of Multiple Points |
| riem.kmeans | K-Means Clustering |
| riem.kmeanspp | K-Means++ Clustering |
| riem.kmedoids | K-Medoids Clustering |
| riem.knn | Find K-Nearest Neighbors |
| riem.mds | Multidimensional Scaling |
| riem.mean | Fr<c3><a9>chet Mean and Variation |
| riem.median | Fr<c3><a9>chet Median and Variation |
| riem.nmshift | Nonlinear Mean Shift |
| riem.pdist | Compute Pairwise Distances for Data |
| riem.pdist2 | Compute Pairwise Distances for Two Sets of Data |
| riem.pga | Principal Geodesic Analysis |
| riem.rmml | Riemannian Manifold Metric Learning |
| riem.seb | Find the Smallest Enclosing Ball |
| riem.tsne | t-distributed Stochastic Neighbor Embedding |
| sphere.runif | Generate Uniform Samples on Sphere |
| sphere.utest | Test of Uniformity on Sphere |
| stiefel.runif | Generate Uniform Samples on Stiefel Manifold |
| stiefel.utest | Test of Uniformity on Stiefel Manifold |
| wrap.correlation | Prepare Data on Correlation Manifold |
| wrap.euclidean | Prepare Data on Euclidean Space |
| wrap.grassmann | Prepare Data on Grassmann Manifold |
| wrap.multinomial | Prepare Data on Multinomial Manifold |
| wrap.rotation | Prepare Data on Rotation Group |
| wrap.spd | Prepare Data on Symmetric Positive-Definite (SPD) Manifold |
| wrap.spdk | Prepare Data on SPD Manifold of Fixed-Rank |
| wrap.sphere | Prepare Data on Sphere |
| wrap.stiefel | Prepare Data on (Compact) Stiefel Manifold |