pyclustering module for cluster analysis. More...
Namespaces | |
agglomerative | |
Cluster analysis algorithm: agglomerative algorithm. | |
bang | |
Cluster analysis algorithm: BANG. | |
birch | |
Cluster analysis algorithm: BIRCH. | |
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... | |
pyclustering module for cluster analysis.