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Spectrum

1.1

Fast Adaptive Spectral Clustering for Single and Multi-View Data

3packages depend
5.1Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Christopher R JohnFirst published 2019-02-0811 releasesCRAN page ↗

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
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 4.0 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
17%

Downloads

5.1K
CRAN downloads in the past year
Rank #7,487 · ~14/day · ~422/mo
Daily download trend is not available in this view yet.
27930 days
1.2K90 days
5.1K1 year
Compare downloads with other packages →
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (2)
no longer listed · 0.1 to 1.1
no longer listed · 0.3 to 1.1
Package Timeline

11 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
    2020-02-10 · current release · diff ↗
  • 1.0
    2019-12-03 · diff ↗
  • 0.9
    2019-10-07 · diff ↗
  • 0.8
    2019-08-19 · diff ↗
  • 0.7
    2019-07-29 · diff ↗
  • 0.6
    2019-05-28 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.5
    2019-04-08 · diff ↗
  • 0.4
    2019-03-15 · diff ↗
Show 4 earlier events
  • 0.3
    2019-02-18 · diff ↗
  • 0.2
    2019-02-11 · diff ↗
  • 0.1
    2019-02-08
  • R
    R 3.5.0 released · 2018-04-23

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
Installed size
not tracked yet
With dependencies
not tracked yet

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 v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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