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This is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': <https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/>.
| Version: | 1.2.6 |
| Depends: | R (≥ 3.0.0) |
| Enhances: | stats, flashClust |
| Published: | 2024-01-12 |
| DOI: | 10.32614/CRAN.package.fastcluster |
| Author: | Daniel Müllner [aut, cph, cre], Google Inc. [cph] |
| Maintainer: | Daniel Müllner <daniel at danifold.net> |
| License: | FreeBSD | GPL-2 | file LICENSE |
| Copyright: | Until package version 1.1.23: © 2011 Daniel Müllner <https://danifold.net>. All changes from version 1.1.24 on: © Google Inc. <https://www.google.com>. |
| URL: | https://danifold.net/fastcluster.html |
| NeedsCompilation: | yes |
| Citation: | fastcluster citation info |
| Materials: | README NEWS INSTALL |
| In views: | Cluster |
| CRAN checks: | fastcluster results |
| Reference manual: | fastcluster.pdf |
| Vignettes: |
User's manual |
| Package source: | fastcluster_1.2.6.tar.gz |
| Windows binaries: | r-devel: fastcluster_1.2.6.zip, r-release: fastcluster_1.2.6.zip, r-oldrel: fastcluster_1.2.6.zip |
| macOS binaries: | r-release (arm64): fastcluster_1.2.6.tgz, r-oldrel (arm64): fastcluster_1.2.6.tgz, r-release (x86_64): fastcluster_1.2.6.tgz, r-oldrel (x86_64): fastcluster_1.2.6.tgz |
| Old sources: | fastcluster archive |
| Reverse depends: | bahc, cummeRbund, ICGE, PropClust, WGCNA |
| Reverse imports: | adductomicsR, bioregion, CEMiTool, ClustAssess, cogena, cstab, disto, FuseSOM, geva, heatmap3, hierGWAS, HierPortfolios, hypervolume, iheatmapr, ILoReg, infercnv, Linnorm, maotai, mappeR, MetaCyto, MetProc, MLGL, mousetrap, MRPC, msPurity, NPflow, pagoda2, RAMClustR, scGPS, SPARTAAS, SpatialVx, visxhclust, VoxR, WeightedCluster |
| Reverse suggests: | bluster, ComplexHeatmap, familiar, FCPS, hyperSpec, IncDTW, linkcomm, MapperAlgo, scde, TRexSelector |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.