r-cran-fastcluster 1.2.3-3 source package in Ubuntu
Changelog
r-cran-fastcluster (1.2.3-3) unstable; urgency=medium
* Fix clean target
Closes: #1049523, #1045485
* Drop r-cran-runit from Test-Depends
-- Andreas Tille <email address hidden> Mon, 23 Oct 2023 13:58:41 +0200
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-fastcluster_1.2.3-3.dsc | 2.2 KiB | 84c244636e5512aec87068f2c6235145caefd76a8e7a56a5853fb35486f95b85 |
| r-cran-fastcluster_1.2.3.orig.tar.gz | 202.6 KiB | 1f229129e1cddc78c7bb5ecc90c4d28ed810ee68cf210004c7cdfa12cfaf2a01 |
| r-cran-fastcluster_1.2.3-3.debian.tar.xz | 4.7 KiB | 633217141555b1d180d999f4d918a5c12b67509845964d5c0fca86b853e66ee9 |
Available diffs
- diff from 1.2.3-2 to 1.2.3-3 (713 bytes)
No changes file available.
Binary packages built by this source
- python3-fastcluster: Fast hierarchical clustering routines for Python 3
This library provides Python functions for hierarchical
clustering. It generates hierarchical clusters from distance matrices
or from vector data.
.
Part of this module is intended to replace the functions
.
linkage, single, complete, average, weighted, centroid, median, ward
.
in the module scipy.cluster.hierarchy with the same functionality but
much faster algorithms. Moreover, the function 'linkage_vector'
provides memory-efficient clustering for vector data.
.
The interface is very similar to MATLAB's Statistics Toolbox API to
make code easier to port from MATLAB to Python/Numpy. The core
implementation of this library is in C++ for efficiency.
.
This package provides the package's Python 3 interface.
- python3-fastcluster-dbgsym: debug symbols for python3-fastcluster
- r-cran-fastcluster: Fast hierarchical clustering routines for GNU R
Fastcluster 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.
- r-cran-fastcluster-dbgsym: debug symbols for r-cran-fastcluster
