pyclustering.cluster Namespace Reference

pyclustering module for cluster analysis. More...

Namespaces
	agglomerative
	Cluster analysis algorithm: agglomerative algorithm.
	bang
	Cluster analysis algorithm: BANG.
	birch
	BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) cluster analysis algorithm.
	bsas
	Cluster analysis algorithm: BSAS (Basic Sequential Algorithmic Scheme).
	center_initializer
	Collection of center initializers for algorithm that uses initial centers, for example, for K-Means or X-Means.
	clarans
	Cluster analysis algorithm: CLARANS.
	clique
	Cluster analysis algorithm: CLIQUE.
	cure
	Cluster analysis algorithm: CURE.
	dbscan
	Cluster analysis algorithm: DBSCAN.
	elbow
	Elbow method to determine the optimal number of clusters for k-means clustering.
	ema
	Cluster analysis algorithm: Expectation-Maximization Algorithm for Gaussian Mixture Model.
	encoder
	Module for representing clustering results.
	fcm
	Cluster analysis algorithm: Fuzzy C-Means.
	ga
	Cluster analysis algorithm: Genetic clustering algorithm (GA).
	generator
	Cluster generator.
	gmeans
	The module contains G-Means algorithm and other related services.
	hsyncnet
	Cluster analysis algorithm: Hierarchical Sync (HSyncNet)
	kmeans
	The module contains K-Means algorithm and other related services.
	kmedians
	Cluster analysis algorithm: K-Medians.
	kmedoids
	Cluster analysis algorithm: K-Medoids.
	mbsas
	Cluster analysis algorithm: MBSAS (Modified Basic Sequential Algorithmic Scheme).
	optics
	Cluster analysis algorithm: OPTICS (Ordering Points To Identify Clustering Structure)
	rock
	Cluster analysis algorithm: ROCK.
	silhouette
	Silhouette - method of interpretation and validation of consistency.
	somsc
	Cluster analysis algorithm: SOM-SC (Self-Organized Feature Map for Simple Clustering)
	syncnet
	Cluster analysis algorithm: Sync.
	syncsom
	Cluster analysis algorithm: SYNC-SOM.
	ttsas
	Cluster analysis algorithm: TTSAS (Two-Threshold Sequential Algorithmic Scheme).
	xmeans
	Cluster analysis algorithm: X-Means.

Classes
class	canvas_cluster_descr
	Description of cluster for representation on canvas. More...
class	cluster_visualizer
	Common visualizer of clusters on 1D, 2D or 3D surface. More...
class	cluster_visualizer_multidim
	Visualizer for cluster in multi-dimensional data. More...

Detailed Description

pyclustering module for cluster analysis.

Authors

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

Date

2014-2020

Copyright

GNU Public License