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fastcluster: Fast hierarchical clustering routines for R and Python
Copyright:
• Until package version 1.1.23: © 2011 Daniel Müllner <http://danifold.net>
• All changes from version 1.1.24 on: © Google Inc. <http://google.com>
Version history
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
Version 1.0.0, 03/14/2011:
• Initial release, dependent on Rcpp. Not available on CRAN.
Version 1.0.1, 03/15/2011:
• Removed the dependence on Rcpp; only R's original C interface is used.
Version 1.0.2, 03/17/2011:
• File DESCRIPTION: Fixed a typo
Version 1.0.3, 03/20/2011:
• File README: Removed the warning about false results from the flashClust
package since the new flashClust version 1.01 has this error corrected.
• Cleaned the test file fastcluster_test.R up. (No dependence on the MASS
package any more)
Version 1.0.4, 03/21/2011:
• Changed the name of the external function from the outdated "Rcpp_linkage"
to "fastcluster".
• Registered the external function "fastcluster" in R.
• Configured the C header inclusions to work on Fedora (thanks to Peter
Langfelder).
Version 1.1.0, 08/21/2011
• Routines for clustering vector data.
• Added a User's manual
• Revision of all files
Version 1.1.1, 10/08/2011
• Fixed test scripts, which indicated an error on some architectures, even
if results were correct. (The assumption was that ties in single linkage
clustering are resolved in the same way, both for dissimilarity input and
for vector input. This is not necessarily true if the floating point unit
uses "excess precision". Now the test scripts are content with arbitrary
resolution of ties and do not assume a specific scheme.)
• Bug fix: uninitialized function pointer in Version 1.1.0
Version 1.1.2, 10/11/2011
• Fix for Solaris: replaced ssize_t by ptrdiff_t in the C++ code.
• Removed the NN-chain algorithm for vector input: it was not clear that
it would work under all circumstances with the intricacies of floating-
point arithmetic. Especially the effects of the excess precision on the
x87 are impossible to control in a portable way. Now, the memory-saving
routines for the “Ward” linkage use the generic algorithm, as “centroid”
and “median” linkage do.
Version 1.1.3, 12/10/2011
• Replaced ptrdiff_t by std::ptrdiff_t, as GCC 4.6.1 complains about this.
Version 1.1.4, 02/01/2012
• Release the GIL in the Python package, so that it can be used efficiently
in multithreaded applications.
• Improved performance for the "Ward" method with vector input.
• The "members" parameter in the R interface is now treated as a double
array, not an integer array as before. This was a slight incompatibility
with the stats::hclust function. Thanks to Matthias Studer, University of
Geneva, for pointing this out.
Version 1.1.5, 02/14/2012
• Updated the "members" specification in the User's manual to reflect the
recent change.
Version 1.1.6, 03/12/2012
• Bug fix related to GIL release in the Python wrapper. Thanks to Massimo
Di Stefano for the bug report.
• Small compatibility changes in the Python test scripts (again thanks to
Massimo Di Stefano for the report).
Version 1.1.7, 09/17/2012
• Scipy import is now optional (suggested by Forest Gregg)
• Compatibility fix for NumPy 1.7. Thanks to Semihcan Doken for the bug
report.
Version 1.1.8, 08/28/2012
• Test for NaN dissimilarity values: Now the algorithms produce an error
message instead of silently giving false results. The documentation was
updated accordingly. This is the final design as intended: the fastcluster
package handles infinity values correctly but complains about NaNs.
• The Python interface now works with both Python 2 and Python 3.
• Changed the license to BSD.
Version 1.1.9, 03/15/2013
• Compatibility fix for the MSVC compilers on Windows.
• Simplified GIL release in the Python interface.
Version 1.1.10, 05/22/2013
• Updated citation information (JSS paper).
• Suppress warnings where applicable. Compilation with GCC should
not produce any warning at all, even if all compiler warnings
are enabled. (The switch -pedantic still does not work, but this
is due to the Python headers.)
• Optimization: Hidden symbols. Only the interface functions are
exported to the symbol table with GCC.
Version 1.1.11, 05/23/2013
• Compatibility fix for Solaris.
Version 1.1.12, 12/10/2013
• Tiny maintenance updates: new author web page and e-mail address,
new location for R vignette.
Version 1.1.13, 12/17/2013
• Moved the "python" directory due to CRAN requirements.
Version 1.1.14, 01/02/2015
• Updated the DESCRIPTION file according to CRAN rules.
• Renamed the “ward” method for dissimilarity input to “ward.D” in the R
interface and created a new method “ward.D2”, following changes in R's
hclust package.
Version 1.1.15, 01/05/2015
• Fixed the unit test to work with old and new R versions (see the changes
in stats::hclust in R 3.1.0).
Version 1.1.16, 01/07/2015
• Support for large distance matrices (more than 2^31 entries, R's long
vector support since version 3.0.0).
Version 1.1.17, 07/03/2015
• Resolved MSVC compiler warnings.
Version 1.1.18, 07/16/2015
• Fixed missing NumPy header include path.
Version 1.1.19, 07/19/2015
• Fixed unit tests. They can be run with "python setup.py test" now.
Version 1.1.20, 07/19/2015
• New version number due to PyPI upload error.
Version 1.1.21, 09/18/2016
• Appropiate use of std namespace, as required by CRAN.
Version 1.1.22, 06/12/2016
• No fenv header usage if software floating-point emulation is used (bug
report: NaN test failed on Debian armel).
Version 1.1.23, 03/24/2017
• setup.py: Late NumPy import for better dependency management.
Version 1.1.24, 08/04/2017
• R 3.5 corrects the formula for the “Canberra” metric. See
https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17285.
The formula in the fastcluster package was changed accordingly. This
concerns only the R interface. SciPy and fastcluster's Python interface
always had the correct formula.
Version 1.1.25, 05/27/2018
• Removed all “#pragma GCC diagnostic” directives in .cpp files due to changed
CRAN requirements (CRAN repository only, not the GitHub repository).
• Updated build scripts for Python 3.7 (thanks to Forest Gregg).
• Simplified setup.py.
• Updated and corrected documentation.
Version 1.1.26, 12/30/2019
• Small updates for Python 3.8.
Version 1.1.27, 01/20/2021
• Updated NumPy dependency for Python 3.9.
Version 1.1.28, 02/03/2021
• Replace deprecated “numpy.bool” and “numpy.int” by “bool” and “int”.
Version 1.2.0, 05/23/2021
• Dropped support for Python 2.
• Python interface: Updated definition of the Yule distance function, following
a change in SciPy 1.6.3.
Version 1.2.1, 05/24/2021
• Documentation update.
Version 1.2.2, 05/24/2021
• Documentation update.
Version 1.2.3, 05/24/2021
• Fixed #pragma in fastcluster.cpp.
Version 1.2.4, 08/21/2021
• Fixed NumPy versions in Travis builds.
Version 1.2.5, 02/26/2022
• Updated pyproject.toml to work with Python 3.10 and future Python versions.
Version 1.2.6, 02/27/2022
• Move to GitHub action for CI. No code changes.