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Port details
py-fastcluster Python functions for hierarchical clustering
1.1.13_2 math on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port
Maintainer: xmj@chaot.net search for ports maintained by this maintainer
Port Added: 18 Dec 2013 11:12:51
Also Listed In: python
License: BSD2CLAUSE
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
SVNWeb : Homepage : Distfiles Availability : PortsMon

NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:
  1. numeric.py : math/py-numpy
  2. py27-setuptools27>0 : devel/py-setuptools27
  3. python2.7 : lang/python27
Runtime dependencies:
  1. numeric.py : math/py-numpy
  2. py27-scipy>0 : science/py-scipy
  3. py27-setuptools27>0 : devel/py-setuptools27
  4. python2.7 : lang/python27
There are no ports dependent upon this port

To install the port: cd /usr/ports/math/py-fastcluster/ && make install clean
To add the package: pkg install math/py-fastcluster


Configuration Options
     No options to configure

USES:
python python

Master Sites:
  1. http://distcache.FreeBSD.org/ports-distfiles/
  2. http://pypi.crate.io/packages/source/f/fastcluster/
  3. http://pypi.python.jp/fastcluster/
  4. http://pypi.python.org/packages/source/f/fastcluster/

Number of commits found: 4

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
21 Oct 2014 16:54:55
Original commit files touched by this commit  1.1.13_2
Revision:371328
mva search for other commits by this committer
- Convert ports of math/ to new USES=python

Approved by:	portmgr (implicit)
10 Sep 2014 20:50:37
Original commit files touched by this commit  1.1.13_2
Revision:367888
gerald search for other commits by this committer
Update the default version of GCC in the Ports Collection from GCC 4.7.4
to GCC 4.8.3.

Part II, Bump PORTREVISIONs.

PR:		192025
Tested by:	antoine (-exp runs)
Approved by:	portmgr (implicit)
10 Mar 2014 20:55:22
Original commit files touched by this commit  1.1.13_1
Revision:347809
gerald search for other commits by this committer
Update the default version of GCC used in the Ports Collection from
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)
18 Dec 2013 11:12:40
Original commit files touched by this commit  1.1.13
Revision:336815
wg search for other commits by this committer
math/py-fastcluster: Python functions for hierarchical clustering

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>

Number of commits found: 4

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