GIC: A General Iterative Clustering Algorithm

An iterative algorithm that improves the proximity matrix (PM) from a random forest (RF) and the resulting clusters as measured by the silhouette score.

Version: 1.0.0
Imports: randomForest, cluster, ggplot2
Published: 2021-12-15
DOI: 10.32614/CRAN.package.GIC
Author: Ziqiang Lin [aut, cre], Eugene Laska [aut], Carole Siegel [aut]
Maintainer: Ziqiang Lin <linziqiang0314 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: GIC results


Reference manual: GIC.pdf


Package source: GIC_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GIC_1.0.0.tgz, r-oldrel (arm64): GIC_1.0.0.tgz, r-release (x86_64): GIC_1.0.0.tgz, r-oldrel (x86_64): GIC_1.0.0.tgz


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