./wip/py-debacl, Density-Based Clustering

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Branch: CURRENT, Version: 0.2.0, Package name: py312-debacl-0.2.0, Maintainer: jihbed.research

DeBaCl is a Python library for estimation of density level set trees and
nonparametric density-based clustering. Level set trees are based on the
statistically-principled definition of clusters as modes of a probability
density function. They are particularly useful for analyzing structure in
complex datasets that exhibit multi-scale clustering behavior
DeBaCl is intended to promote the practical use of level set trees through
improvements in computational efficiency, flexible algorithms, and an emphasis
on modularity and user customizability


Required to run:
[graphics/py-matplotlib] [math/py-scipy] [math/py-numpy] [math/py-pandas] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

RMD160: 12b34506e0e49354df3d6276fcee6d248cd30df0
Filesize: 30.073 KB

Version history: (Expand)

CVS history: (Expand)


   2013-09-09 02:09:39 by Kamel Derouiche | Files touched by this commit (5) 
Log message:
Import py27-debacl-0.2.0 as wip/py-debacl.

DeBaCl is a Python library for estimation of density level set trees and
nonparametric density-based clustering. Level set trees are based on the
statistically-principled definition of clusters as modes of a probability
density function. They are particularly useful for analyzing structure in
complex datasets that exhibit multi-scale clustering behavior
DeBaCl is intended to promote the practical use of level set trees through
improvements in computational efficiency, flexible algorithms, and an emphasis
on modularity and user customizability