BSD Ports

math/py-fastcluster 1.2.6_2 DragonFly

Fast hierarchical clustering routines for R and Python

System
DragonFly
Repository
DPorts
Maintainer
[email protected] (as in FreeBSD)
License
BSD2CLAUSE
Categories
math, python
Package size
45.9 KiB, 149.7 KiB installed

Description

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.

In the other systems

SystemPortVersion
DragonFlymath/py-fastcluster1.2.6_2
FreeBSDmath/py-fastcluster1.3.0_3

Install

Binary package:

pkg install py311-fastcluster

From DPorts:

cd /usr/dports/math/py-fastcluster && make install clean

Dependencies

Run dependencies 2

No port depends on this one.