Package: Spectrum 1.1

Spectrum: Fast Adaptive Spectral Clustering for Single and Multi-View Data

A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens connections in the graph based on common nearest neighbours. It uses a tensor product graph data integration and diffusion procedure to integrate different data sources and reduce noise. 'Spectrum' uses either the eigengap or multimodality gap heuristics to determine the number of clusters. The method is sufficiently flexible so that a wide range of Gaussian and non-Gaussian structures can be clustered with automatic selection of K.

Authors:Christopher R John, David Watson

Spectrum_1.1.tar.gz
Spectrum_1.1.zip(r-4.5)Spectrum_1.1.zip(r-4.4)Spectrum_1.1.zip(r-4.3)
Spectrum_1.1.tgz(r-4.5-any)Spectrum_1.1.tgz(r-4.4-any)Spectrum_1.1.tgz(r-4.3-any)
Spectrum_1.1.tar.gz(r-4.5-noble)Spectrum_1.1.tar.gz(r-4.4-noble)
Spectrum_1.1.tgz(r-4.4-emscripten)Spectrum_1.1.tgz(r-4.3-emscripten)
Spectrum.pdf |Spectrum.html
Spectrum/json (API)

# Install 'Spectrum' in R:
install.packages('Spectrum', repos = c('https://crj32.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/crj32/spectrum/issues

Datasets:
  • blobs - 8 blob like structures
  • brain - A brain cancer dataset
  • circles - Three concentric circles
  • missl - A list of the blob data as similarity matrices with a missing entry in one
  • misslfilled - A list of the blob data as similarity matrices with a missing entry in one filled with NAs
  • spirals - Two spirals wrapped around one another

On CRAN:

Conda:

clusteringspectral-clustering

5.99 score 7 stars 1 packages 47 scripts 359 downloads 450 mentions 12 exports 36 dependencies

Last updated 5 years agofrom:92c21c8162. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-winWARNINGMar 20 2025
R-4.5-macWARNINGMar 20 2025
R-4.5-linuxWARNINGMar 20 2025
R-4.4-winWARNINGMar 20 2025
R-4.4-macWARNINGMar 20 2025
R-4.4-linuxWARNINGMar 20 2025
R-4.3-winWARNINGMar 20 2025
R-4.3-macWARNINGMar 20 2025

Exports:cluster_similarityCNN_kernelestimate_kharmonise_idsintegrate_similarity_matriceskernel_pcamean_imputationng_kernelpcarbfkernel_bsigma_finderSpectrum

Dependencies:cliClusterRcolorspacediptestfansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppParallelRfastrlangscalestibbleutf8vctrsviridisLitewithrzigg

Spectrum

Rendered fromSpectrum_vignette.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2020-02-12
Started: 2020-02-12