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This package was removed from CRAN on 2018-07-20. Its history is shown below.
Reason: it depends on 'sparcl', which was archived
Details below reflect version 1.0.0, its last release before removal.

Stable Sparse K-Means

0packages depend
–downloads / year
–test coverage
–flavors OK

Overview

About

Achieve feature selection via taking subsamples of data and then running sparse k-means on each of the subsamples. Only maintain features that received positive weights a high proportion of times. Run standard k-means to cluster the data based on subset of features selected.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

Documentation

In release 1.0.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
67%

Downloads

sskm
Daily download trend is not available in this view yet.

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Contributor

Maintainer since 1.0.0 (2017)

Releases (1)
  • R
    R 3.6.0 released · 2019-04-26
  • archivedRemoved from CRAN
    2018-07-20
    it depends on 'sparcl', which was archived
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.0
    2017-03-03
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-03-03
Total releases
1 / 9 yrs
License
GPL-2 OSI

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sskm")
Apfel, A. (n.d.). sskm: Stable Sparse K-Means (Version 1.0.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=sskm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 sskm version 1.0.0 [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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