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* - Convert ports of math/ to new USES=pythonmva2014-10-221-3/+2
| | | | Approved by: portmgr (implicit)
* Update the default version of GCC in the Ports Collection from GCC 4.7.4gerald2014-09-111-1/+1
| | | | | | | | | | to GCC 4.8.3. Part II, Bump PORTREVISIONs. PR: 192025 Tested by: antoine (-exp runs) Approved by: portmgr (implicit)
* Update the default version of GCC used in the Ports Collection fromgerald2014-03-111-0/+1
| | | | | | | | | | | GCC 4.6.4 to GCC 4.7.3. This entails updating the lang/gcc port as well as changing the default in Mk/bsd.default-versions.mk. Part II, Bump PORTREVISIONs. PR: 182136 Supported by: Christoph Moench-Tegeder <cmt@burggraben.net> (fixing many ports) Tested by: bdrewery (two -exp runs)
* math/py-fastcluster: Python functions for hierarchical clusteringwg2013-12-183-0/+48
Fastcluster 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>