 |
pyclustering
0.10.1
pyclustring is a Python, C++ data mining library.
|
|
pyclustering
0.10.1
pyclustring is a Python, C++ data mining library.
|
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... | |
pyclustering module for cluster analysis.
1.8.17