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The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.
Version: | 1.0.1 |
Depends: | R (≥ 3.1.2) |
Suggests: | fastcluster, networkD3, igraph, cluster, dbscan, testthat (≥ 3.0.0) |
Published: | 2024-12-08 |
DOI: | 10.32614/CRAN.package.MapperAlgo |
Author: | ChiChien Wang [aut, cre, trl], Paul Pearson [ctb], Daniel Muellner [ctb], Gurjeet Singh [ctb] |
Maintainer: | ChiChien Wang <kennywang2003 at gmail.com> |
BugReports: | https://github.com/kennywang112/MapperAlgo/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/kennywang112/MapperAlgo/ |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | MapperAlgo results |
Reference manual: | MapperAlgo.pdf |
Package source: | MapperAlgo_1.0.1.tar.gz |
Windows binaries: | r-devel: MapperAlgo_1.0.1.zip, r-release: MapperAlgo_1.0.1.zip, r-oldrel: MapperAlgo_1.0.1.zip |
macOS binaries: | r-release (arm64): MapperAlgo_1.0.1.tgz, r-oldrel (arm64): MapperAlgo_1.0.1.tgz, r-release (x86_64): MapperAlgo_1.0.1.tgz, r-oldrel (x86_64): MapperAlgo_1.0.1.tgz |
Old sources: | MapperAlgo archive |
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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.