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rgudhi  

An Interface to the GUDHI Library for Topological Data Analysis
View on CRAN: Click here


Download and install rgudhi package within the R console
Install from CRAN:
install.packages("rgudhi")

Install from Github:
library("remotes")
install_github("cran/rgudhi")

Install by package version:
library("remotes")
install_version("rgudhi", "0.2.0")



Attach the package and use:
library("rgudhi")
Maintained by
Aymeric Stamm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-20
Latest Update:
Description:
Provides an interface to the GUDHI library which is a generic open source C++ library, with a Python interface, for topological data analysis (TDA) and higher dimensional geometry understanding. The library offers state-of-the-art data structures and algorithms to construct simplicial complexes and compute persistent homology.
How to cite:
Aymeric Stamm (2023). rgudhi: An Interface to the GUDHI Library for Topological Data Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/rgudhi. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:51), 0.1.0 (2023-01-20 00:30), 0.2.0 (2023-03-24 16:40)
Other packages that cited rgudhi R package
View rgudhi citation profile
Other R packages that rgudhi depends, imports, suggests or enhances
Functions, R codes and Examples using the rgudhi R package
Some associated functions: AffinityPropagation . AgglomerativeClustering . AlphaComplex . Atol . BaseClustering . BaseScaler . BettiCurve . Birch . BirthPersistenceTransform . BisectingKMeans . BottleneckDistance . ComplexPolynomial . CubicalComplex . DBSCAN . DiagramScaler . DiagramSelector . Entropy . FeatureAgglomeration . KMeans . KernelRepresentationStep . Landscape . MaxAbsScaler . MeanShift . MetricStep . MinMaxScaler . MiniBatchKMeans . OPTICS . Padding . PeriodicCubicalComplex . PersistenceFisherDistance . PersistenceFisherKernel . PersistenceImage . PersistenceScaleSpaceKernel . PersistenceSlicedWassersteinKernel . PersistenceWeightedGaussianKernel . PreprocessingStep . ProminentPoints . RipsComplex . RobustScaler . Silhouette . SimplexTree . SlicedWassersteinDistance . SpectralBiclustering . SpectralClustering . SpectralCoclustering . StandardScaler . StrongWitnessComplex . TangentialComplex . Tomato . TopologicalVector . VectorRepresentationStep . WassersteinDistance . WitnessComplex . fetch . persistence_diagram . plot . rgudhi-package . seq_circle . sphere . torus . 
Some associated R codes: clustering.R . complex-alpha.R . complex-cubical.R . complex-rips.R . complex-tangential.R . complex-witness.R . datasets-fetch.R . datasets-generators.R . persistence-diagram.R . python-class.R . representation-kernel-methods.R . representation-metrics.R . representation-preprocessing.R . representation-vector-methods.R . rgudhi-package.R . simplex-tree.R . sklearn-class.R . sklearn-cluster.R . sklearn-scalers.R . utils.R . zzz.R .  Full rgudhi package functions and examples
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