Cluster analysis algorithm: OPTICS (Ordering Points To Identify Clustering Structure) More...

Classes
class	optics
	Class represents clustering algorithm OPTICS (Ordering Points To Identify Clustering Structure) with KD-tree optimization (ccore options is supported). More...

class	optics_descriptor
	Object description that used by OPTICS algorithm for cluster analysis. More...

class	ordering_analyser
	Analyser of cluster ordering diagram. More...

class	ordering_visualizer
	Cluster ordering diagram visualizer that represents dataset graphically as density-based clustering structure. More...

Detailed Description

Cluster analysis algorithm: OPTICS (Ordering Points To Identify Clustering Structure)

Implementation based on paper [2].

Authors: Andrei Novikov (pyclu.nosp@m.ster.nosp@m.ing@y.nosp@m.ande.nosp@m.x.ru)

Classes