Function reference

CubicalComplex
 R6 Class for Cubical Complex

PeriodicCubicalComplex
 R6 Class for Periodic Cubical Complex

SimplexTree
 R6 Class for Simplex Tree

AlphaComplex
 R6 Class for Alpha Complex

RipsComplex
 R6 Class for Rips Complex

WitnessComplex
 R6 Class for Witness Complex

StrongWitnessComplex
 R6 Class for Strong Witness Complex

TangentialComplex
 R6 Class for Tangential Complex

as_persistence_diagram()
is_persistence_diagram()
 Persistence Diagram

plot(<persistence_diagram>)
 Plot for
persistence_diagram
objects

autoplot(<persistence_diagram>)
 Plot for
persistence_diagram
objects

BirthPersistenceTransform
 Preprocessing: Birth Persistence Transform

DiagramScaler
 Preprocessing: Diagram Scaler

DiagramSelector
 Preprocessing: Diagram Selector

Padding
 Preprocessing: Padding

ProminentPoints
 Preprocessing: Prominent Points

Atol
 Vector Representation: Atol

BettiCurve
 Vector Representation: Betti Curve

ComplexPolynomial
 Vector Representation: Complex Polynomial

Entropy
 Vector Representation: Entropy

Landscape
 Vector Representation: Landscape

PersistenceImage
 Vector Representation: Persistence Image

Silhouette
 Vector Representation: Silhouette

TopologicalVector
 Vector Representation: Topological Vector

PersistenceFisherKernel
 Kernel Representation: Persistence Fisher Kernel

PersistenceScaleSpaceKernel
 Kernel Representation: Persistence ScaleSpace Kernel

PersistenceWeightedGaussianKernel
 Kernel Representation: Persistence Weighted Gaussian Kernel

PersistenceSlicedWassersteinKernel
 Kernel Representation: Persistence Sliced Wasserstein Kernel

BottleneckDistance
 Metrics: Bottleneck Distance

PersistenceFisherDistance
 Metrics: Persistence Fisher Distance

SlicedWassersteinDistance
 Metrics: Sliced Wasserstein Distance

WassersteinDistance
 Metrics: Wasserstein Distance

as_persistence_diagram_sample()
is_persistence_diagram_sample()
 Persistence Diagram Sample

mean(<persistence_diagram_sample>)
 Persistence Diagram Sample Mean

MaxAbsScaler
 Scales each feature by its maximum absolute value

MinMaxScaler
 Transforms features by scaling each feature to a given range

RobustScaler
 Scales features using statistics that are robust to outliers

StandardScaler
 Standardizes features by removing the mean and scaling to unit variance

AffinityPropagation
 Performs clustering according to the affinity propagation algorithm

AgglomerativeClustering
 Performs clustering according to the agglomerative algorithm

Birch
 Performs clustering according to the Birch algorithm

DBSCAN
 Performs clustering according to the DBSCAN algorithm

FeatureAgglomeration
 Performs clustering according to the feature agglomeration algorithm

KMeans
 Performs clustering according to the kmeans algorithm

BisectingKMeans
 Performs clustering according to the bisecting kmeans algorithm

MiniBatchKMeans
 Performs clustering according to the minibatch kmeans algorithm

MeanShift
 Performs clustering according to the mean shift algorithm

OPTICS
 Performs clustering according to the OPTICS algorithm

SpectralClustering
 Performs clustering according to the spectral clustering algorithm

SpectralBiclustering
 Performs clustering according to the spectral biclustering algorithm

SpectralCoclustering
 Performs clustering according to the spectral coclustering algorithm

Tomato
 Clustering: Tomato

seq_circle()
 Circular Sequence Generation

sphere()
 Sampling on the Sphere

torus()
 Sampling on the Torus

fetch_bunny()
fetch_spiral_2d()
clear_data_home()
 Remote Data Sets