Changes in version 1.3.0 (2025-05-07) - Support for NumPy 2. - Python interface: Updated definition of the Jaccard distance function, following a change in SciPy 1.15.0. Changes in version 1.2.6 (2024-01-12) - Move to GitHub action for CI. No code changes. Changes in version 1.2.5 - Updated pyproject.toml to work with Python 3.10 and future Python versions. Changes in version 1.2.4 - Fixed NumPy versions in Travis builds. Changes in version 1.2.3 (2021-05-24) - Fixed #pragma in fastcluster.cpp. Changes in version 1.2.2 (2021-05-24) - Documentation update. Changes in version 1.2.1 - Documentation update. Changes in version 1.2.0 - Dropped support for Python 2. - Python interface: Updated definition of the Yule distance function, following a change in SciPy 1.6.3. Changes in version 1.1.28 - Replace deprecated “numpy.bool” and “numpy.int” by “bool” and “int”. Changes in version 1.1.27 - Updated NumPy dependency for Python 3.9. Changes in version 1.1.26 - Small updates for Python 3.8. Changes in version 1.1.25 (2018-06-07) - 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. Changes in version 1.1.24 (2017-08-21) - 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. Changes in version 1.1.23 (2017-08-21) - setup.py: Late NumPy import for better dependency management. Changes in version 1.1.22 (2016-12-09) - No fenv header usage if software floating-point emulation is used (bug report: NaN test failed on Debian armel). Changes in version 1.1.21 (2016-09-19) - Appropiate use of std namespace, as required by CRAN. Changes in version 1.1.20 (2016-03-31) - New version number due to PyPI upload error. Changes in version 1.1.19 - Fixed unit tests. They can be run with "python setup.py test" now. Changes in version 1.1.18 - Fixed missing NumPy header include path. Changes in version 1.1.17 - Resolved MSVC compiler warnings. Changes in version 1.1.16 (2015-02-17) - Support for large distance matrices (more than 2^31 entries, R's long vector support since version 3.0.0). Changes in version 1.1.15 (2015-01-05) - Fixed the unit test to work with old and new R versions (see the changes in stats::hclust in R 3.1.0). Changes in version 1.1.14 (2015-01-04) - 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. Changes in version 1.1.13 (2013-12-17) - Moved the "python" directory due to CRAN requirements. Changes in version 1.1.12 - Tiny maintenance updates: new author web page and e-mail address, new location for R vignette. Changes in version 1.1.11 (2013-05-24) - Compatibility fix for Solaris. Changes in version 1.1.10 (2013-05-23) - 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. Changes in version 1.1.9 (2013-03-17) - Compatibility fix for the MSVC compilers on Windows. - Simplified GIL release in the Python interface. Changes in version 1.1.8 (2013-01-19) - 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. Changes in version 1.1.7 (2012-09-21) - Scipy import is now optional (suggested by Forest Gregg) - Compatibility fix for NumPy 1.7. Thanks to Semihcan Doken for the bug report. Changes in version 1.1.6 (2012-03-13) - 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). Changes in version 1.1.5 (2012-02-15) - Updated the "members" specification in the User's manual to reflect the recent change. Changes in version 1.1.4 (2012-02-13) - 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. Changes in version 1.1.3 (2011-12-11) - Replaced ptrdiff_t by std::ptrdiff_t, as GCC 4.6.1 complains about this. Changes in version 1.1.2 (2011-10-11) - 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. Changes in version 1.1.1 (2011-10-09) - 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 Changes in version 1.1.0 (2011-10-01) - Routines for clustering vector data. - Added a User's manual - Revision of all files Changes in version 1.0.4 (2011-03-23) - 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). Changes in version 1.0.3 (2011-03-21) - 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) Changes in version 1.0.2 (2011-03-17) - File DESCRIPTION: Fixed a typo Changes in version 1.0.1 (2011-03-16) - Removed the dependence on Rcpp; only R's original C interface is used. Changes in version 1.0.0 - Initial release, dependent on Rcpp. Not available on CRAN.