Dcluster 0.2.0

A Python package for Clustering by fast search and find of density peaks

This Python package implements the clustering algorithm proposed by Alex Rodriguez and Alessandro Laio. It generates the initial rho and delta values for each observation then use these values to assign observations to clusters.

Installation

This version is for both python2 and python3. The first step is to install Python. Python is available from the Python project page . The next step is install sharepathway.

Install from PyPi using pip, a package manager for Python:

$ pip install Dcluster

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

$ python setup.py install

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/

Contact

Author: Guipeng Li

Email: [e-mail]

Refences

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