An Interface to the GUDHI Library for Topological Data Analysis

---

Documentation for package ‘rgudhi’ version 0.2.0

• DESCRIPTION file.

Help Pages

AffinityPropagation	Performs clustering according to the affinity propagation algorithm
AgglomerativeClustering	Performs clustering according to the agglomerative algorithm
AlphaComplex	R6 Class for Alpha Complex
as_persistence_diagram	Persistence Diagram
as_persistence_diagram_sample	Persistence Diagram Sample
Atol	Vector Representation: Atol
autoplot.persistence_diagram	Plot for 'persistence_diagram' objects
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 algorithm
BottleneckDistance	Metrics: Bottleneck Distance
clear_data_home	Remote Data Sets
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 algorithm
fetch	Remote Data Sets
fetch_bunny	Remote Data Sets
fetch_spiral_2d	Remote Data Sets
is_persistence_diagram	Persistence Diagram
is_persistence_diagram_sample	Persistence Diagram Sample
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
MiniBatchKMeans	Performs clustering according to the mini-batch k-means algorithm
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
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
persistence_diagram	Persistence Diagram
persistence_diagram_sample	Persistence Diagram Sample
plot.persistence_diagram	Plot for 'persistence_diagram' objects
ProminentPoints	Preprocessing: Prominent Points
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 algorithm
SpectralClustering	Performs clustering according to the spectral clustering algorithm
SpectralCoclustering	Performs clustering according to the spectral coclustering algorithm
sphere	Sampling on the Sphere
StandardScaler	Standardizes features by removing the mean and scaling to unit variance
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
WassersteinDistance	Metrics: Wasserstein Distance
WitnessComplex	R6 Class for Witness Complex