The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

spectralGraphTopology: Learning Graphs from Data via Spectral Constraints

In the era of big data and hyperconnectivity, learning high-dimensional structures such as graphs from data has become a prominent task in machine learning and has found applications in many fields such as finance, health care, and networks. 'spectralGraphTopology' is an open source, documented, and well-tested R package for learning graphs from data. It provides implementations of state of the art algorithms such as Combinatorial Graph Laplacian Learning (CGL), Spectral Graph Learning (SGL), Graph Estimation based on Majorization-Minimization (GLE-MM), and Graph Estimation based on Alternating Direction Method of Multipliers (GLE-ADMM). In addition, graph learning has been widely employed for clustering, where specific algorithms are available in the literature. To this end, we provide an implementation of the Constrained Laplacian Rank (CLR) algorithm.

Version: 0.2.3
Imports: Rcpp (≥ 0.11.0), MASS, Matrix, progress, rlist
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: CVXR, bookdown, knitr, prettydoc, rmarkdown, R.rsp, testthat, patrick, corrplot, igraph, kernlab, pals, clusterSim, viridis, quadprog, matrixcalc
Published: 2022-03-14
Author: Ze Vinicius [cre, aut], Daniel P. Palomar [aut]
Maintainer: Ze Vinicius <jvmirca at gmail.com>
BugReports: https://github.com/dppalomar/spectralGraphTopology/issues
License: GPL-3
URL: https://github.com/dppalomar/spectralGraphTopology, https://mirca.github.io/spectralGraphTopology/, https://www.danielppalomar.com
NeedsCompilation: yes
Citation: spectralGraphTopology citation info
Materials: README NEWS
In views: GraphicalModels
CRAN checks: spectralGraphTopology results

Documentation:

Reference manual: spectralGraphTopology.pdf
Vignettes: Learning graphs from data via spectral constraints (html)

Downloads:

Package source: spectralGraphTopology_0.2.3.tar.gz
Windows binaries: r-devel: spectralGraphTopology_0.2.3.zip, r-release: spectralGraphTopology_0.2.3.zip, r-oldrel: spectralGraphTopology_0.2.3.zip
macOS binaries: r-release (arm64): spectralGraphTopology_0.2.3.tgz, r-oldrel (arm64): spectralGraphTopology_0.2.3.tgz, r-release (x86_64): spectralGraphTopology_0.2.3.tgz, r-oldrel (x86_64): spectralGraphTopology_0.2.3.tgz
Old sources: spectralGraphTopology archive

Reverse dependencies:

Reverse depends: finbipartite, fingraph

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spectralGraphTopology to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.