Man pages for rgudhi
An Interface to the GUDHI Library for Topological Data Analysis
| AffinityPropagation | Performs clustering according to the affinity propagation... |
| AgglomerativeClustering | Performs clustering according to the agglomerative algorithm |
| AlphaComplex | R6 Class for Alpha Complex |
| Atol | Vector Representation: Atol |
| autoplot.persistence_diagram | Plot for 'persistence_diagram' objects |
| BaseClustering | Base Class for Clustering Algorithms |
| BaseScaler | Base Class for Scalers |
| BettiCurve | Vector Representation: Betti Curve |
| Birch | Performs clustering according to the Birch algorithm |
| BirthPersistenceTransform | Preprocessing: Birth Persistence Transform |
| BisectingKMeans | Performs clustering according to the bisecting k-means... |
| BottleneckDistance | Metrics: Bottleneck Distance |
| ComplexPolynomial | Vector Representation: Complex Polynomial |
| CubicalComplex | R6 Class for Cubical Complex |
| DBSCAN | Performs clustering according to the DBSCAN algorithm |
| DiagramScaler | Preprocessing: Diagram Scaler |
| DiagramSelector | Preprocessing: Diagram Selector |
| Entropy | Vector Representation: Entropy |
| FeatureAgglomeration | Performs clustering according to the feature agglomeration... |
| fetch | Remote Data Sets |
| KernelRepresentationStep | Kernel Representation Step |
| KMeans | Performs clustering according to the k-means algorithm |
| Landscape | Vector Representation: Landscape |
| MaxAbsScaler | Scales each feature by its maximum absolute value |
| mean.persistence_diagram_sample | Persistence Diagram Sample Mean |
| MeanShift | Performs clustering according to the mean shift algorithm |
| MetricStep | Metric Step |
| MiniBatchKMeans | Performs clustering according to the mini-batch k-means... |
| MinMaxScaler | Transforms features by scaling each feature to a given range |
| OPTICS | Performs clustering according to the OPTICS algorithm |
| Padding | Preprocessing: Padding |
| PeriodicCubicalComplex | R6 Class for Periodic Cubical Complex |
| persistence_diagram | Persistence Diagram |
| persistence_diagram_sample | Persistence Diagram Sample |
| PersistenceFisherDistance | Metrics: Persistence Fisher Distance |
| PersistenceFisherKernel | Kernel Representation: Persistence Fisher Kernel |
| PersistenceImage | Vector Representation: Persistence Image |
| PersistenceScaleSpaceKernel | Kernel Representation: Persistence Scale-Space Kernel |
| PersistenceSlicedWassersteinKernel | Kernel Representation: Persistence Sliced Wasserstein Kernel |
| PersistenceWeightedGaussianKernel | Kernel Representation: Persistence Weighted Gaussian Kernel |
| plot.persistence_diagram | Plot for 'persistence_diagram' objects |
| PreprocessingStep | Preprocessing Step |
| ProminentPoints | Preprocessing: Prominent Points |
| rgudhi-package | rgudhi: An Interface to the GUDHI Library for Topological... |
| RipsComplex | R6 Class for Rips Complex |
| RobustScaler | Scales features using statistics that are robust to outliers |
| seq_circle | Circular Sequence Generation |
| Silhouette | Vector Representation: Silhouette |
| SimplexTree | R6 Class for Simplex Tree |
| SlicedWassersteinDistance | Metrics: Sliced Wasserstein Distance |
| SpectralBiclustering | Performs clustering according to the spectral biclustering... |
| SpectralClustering | Performs clustering according to the spectral clustering... |
| SpectralCoclustering | Performs clustering according to the spectral coclustering... |
| sphere | Sampling on the Sphere |
| StandardScaler | Standardizes features by removing the mean and scaling to... |
| StrongWitnessComplex | R6 Class for Strong Witness Complex |
| TangentialComplex | R6 Class for Tangential Complex |
| Tomato | Clustering: Tomato |
| TopologicalVector | Vector Representation: Topological Vector |
| torus | Sampling on the Torus |
| VectorRepresentationStep | Vector Representation Step |
| WassersteinDistance | Metrics: Wasserstein Distance |
| WitnessComplex | R6 Class for Witness Complex |
