Spectrum
1.1Fast Adaptive Spectral Clustering for Single and Multi-View Data
Overview
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
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 17%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Author records are not tracked yet for this package.
11 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.1Latest
- 1.02019-12-03 · diff ↗
- 0.92019-10-07 · diff ↗
- 0.82019-08-19 · diff ↗
- 0.72019-07-29 · diff ↗
- 0.62019-05-28 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.52019-04-08 · diff ↗
- 0.42019-03-15 · diff ↗
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
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