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Spectrum

1.1Package record

Fast Adaptive Spectral Clustering for Single and Multi-View Data

2packages dependsuggested by 1
4.9Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Christopher R John <chris.r.john86@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Christopher", "R"),
                      family = "John",
                      role = c("aut", "cre"),
                      email = "chris.r.john86@gmail.com"),
               person(given = "David",
                      family = "Watson",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 4.0 min · r-release-macos-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
18
Examples that run
100%12 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
17%
Vignettes (1)

Downloads

4.9K
CRAN downloads in the past year
Rank #6,718 · ~13/day · ~410/mo
Daily download trend is not available in this view yet.
41230 days
1.3K90 days
4.9K1 year
Compare downloads with other packages →
Also on139 r2u2 autocran465 conda_forge164 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing Spectrum adds 25 packages (15 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (from the free-text Author field) (2)
· added in 0.3

Maintainer since 0.1 (2019)

Releases (11)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.1Latest
    record
    2020-02-10 · current release · diff ↗
  • 1.0
    record
    2019-12-03 · diff ↗ ·
    removed 2 exports
    tsne, umap
  • 0.9
    record
    2019-10-07 · diff ↗ ·
    added 7 exports
    cluster_similarity, estimate_k, harmonise_ids, integrate_similarity_matrices, mean_imputation, ng_kernel, sigma_finder
  • 0.8
    record
    2019-08-19 · diff ↗ ·
    removed 1 export
    CNN_kernel_mine_b
    added 1 export
    CNN_kernel
  • 0.7
    record
    2019-07-29 · diff ↗
  • 0.6
    record
    2019-05-28 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.5
    record
    2019-04-08 · diff ↗
  • 0.4
    record
    2019-03-15 · diff ↗
Show 4 earlier eventsHide 4 earlier events

Package metadata

First published
2019-02-08
Total releases
11 / 7 yrs
License
AGPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
3.3 MB / 7 files
Download size
3.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Spectrum")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Spectrum version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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