Installation

This version is for both python2 and python3. The first step is to install Python. Python is available from the Python project page . Dcluster depend on numpy and matplotlib. The next step is to install Dcluster.

You can download the source code at Github or at PyPi for Dcluster, and then run:

$ python setup.py install

Or install from PyPi using pip, a package manager for Python:

$ pip install Dcluster

Usage

The only input is the distance metrics between observations. See the test.dat. Dcluster supports interacive clustering based on Decision Graph:

import Dcluster as dcl
filein="test.dat"
dcl.run(fi=filein)

Test data

See the test.dat in test/. One can choose different cluster centers based on Decision Graph. And please first press key ‘n’ then ‘Enter’ to quit. Result will be saved automatically.

Contact

Author: Guipeng Li

Email: guipeng.lee@gmail.com

Refences

Rodriguez, A., & Laio, A. (2014). Clustering by fast search and find of density peaks. Science, 344(6191), 1492-1496. (paper)