| """ | |
| ========================================= | |
| Clustering package (:mod:`scipy.cluster`) | |
| ========================================= | |
| .. currentmodule:: scipy.cluster | |
| Clustering algorithms are useful in information theory, target detection, | |
| communications, compression, and other areas. The `vq` module only | |
| supports vector quantization and the k-means algorithms. | |
| The `hierarchy` module provides functions for hierarchical and | |
| agglomerative clustering. Its features include generating hierarchical | |
| clusters from distance matrices, | |
| calculating statistics on clusters, cutting linkages | |
| to generate flat clusters, and visualizing clusters with dendrograms. | |
| .. toctree:: | |
| :maxdepth: 1 | |
| cluster.vq | |
| cluster.hierarchy | |
| """ | |
| __all__ = ['vq', 'hierarchy'] | |
| from . import vq, hierarchy | |
| from scipy._lib._testutils import PytestTester | |
| test = PytestTester(__name__) | |
| del PytestTester | |