Metadata-Version: 1.0
Name: Dcluster
Version: 0.3.0
Summary: A Python package for Clustering by fast search and find of density peaks
Home-page: https://github.com/GuipengLi/Dcluster
Author: Guipeng Li
Author-email: guipenglee@gmail.com
License: UNKNOWN
Description: 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 <https://www.python.org/>`_ . The next step is install sharepathway.
        
        Install from PyPi using `pip <http://www.pip-installer.org/en/latest/>`_, a
        package manager for Python::
        
            $ pip install Dcluster
        
        Or, you can download the source code at `Github <https://github.com/GuipengLi/Dcluster>`_  or at `PyPi <https://pypi.python.org/pypi/Dcluster>`_ 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:  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 <http://www.sciencemag.org/content/344/6191/1492.full>`_)
        
Keywords: Cluster,fast,density
Platform: UNKNOWN
