SCPP-package: Projection Pursuit for Spectral Clustering
In DavidHofmeyr/SCPP: Projection Pursuit for Spectral Clustering
Description
Author(s)
References
Description
Performs projection pursuit based on spectral connectivity to find optimal subspaces
for spectral clustering.
Clustering is performed recursively by repeatedly identifying subspaces for separating (some)
clusters from others. All datasets included are from the UCI machine learning repository
[https://archive.ics.uci.edu/ml/datasets.html](Bache and Lichman, 2013)
Author(s)
David Hofmeyr[aut, cre]
Maintainer: David Hofmeyr <dhofmeyr@sun.ac.za>
References
Hofmeyr, D., Pavlidis, N., Eckley, I. (2018) Minimum spectral connectivity projection pursuit, Statistics and Computing, to appear.
DavidHofmeyr/SCPP documentation built on May 28, 2019, 12:25 p.m.
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Description Author(s) References
Description
Performs projection pursuit based on spectral connectivity to find optimal subspaces for spectral clustering. Clustering is performed recursively by repeatedly identifying subspaces for separating (some) clusters from others. All datasets included are from the UCI machine learning repository [https://archive.ics.uci.edu/ml/datasets.html](Bache and Lichman, 2013)
Author(s)
David Hofmeyr[aut, cre] Maintainer: David Hofmeyr <dhofmeyr@sun.ac.za>
References
Hofmeyr, D., Pavlidis, N., Eckley, I. (2018) Minimum spectral connectivity projection pursuit, Statistics and Computing, to appear.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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