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资源说明：Python implementation of a weighted extension of DBSCAN (Ester et al., 1996).
wdbscan
=======
Python implementation of a weighted extension of [DBSCAN](https://en.wikipedia.org/wiki/DBSCAN) (Ester et al., 1996).
This module provides a weighted implementation of Ester et al.'s algorithm, accomodating instance weights. Here, a core object is not defined as an object whose epsilon-neighborhood contains at least a given number of objects, but as an object whose epsilon-neighborhood weighs a least a given weight. The weight of a given object's epsilon-neighborhood is straightforwardly defined as the sum of the weights of its epsilon-neighbors. This implementation does not require weights to be positive, so be careful what you wish for, you might just get it.
To use this module, you must have [NumPy](http://numpy.scipy.org/) installed.
## License
*[Do What The Fuck You Want To Public License](http://en.wikipedia.org/wiki/WTFPL)* (version 2).
## Citation
When using *wdbscan* for a publication, please cite my [doctoral dissertation](http://tel.archives-ouvertes.fr/tel-00746163).
@phdthesis{
author = {Boruta, Luc},
title = {Indicators of Allophony and Phonemehood},
school = {Universit{\'e} Paris Diderot},
year = {2012},
}
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