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Fast hierarchical clustering routines for R and Python.

Project 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.

Release history Release notifications

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1.1.24

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1.1.23

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1.1.22

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1.1.21

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1.1.20

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1.1.18

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1.1.17

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1.1.13

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1.1.12

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1.1.11

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1.1.9

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1.1.8

This version
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1.1.7

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1.1.6

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Filename, size & hash SHA256 hash help File type Python version Upload date
fastcluster-1.1.7.tar.gz (150.2 kB) Copy SHA256 hash SHA256 Source None Sep 20, 2012

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