Persistent and stable clustering (Persistable) is a density-based clustering algorithm intended for exploratory data analysis. What distinguishes Persistable from other clustering algorithms is its visualization capabilities. Persistable’s interactive mode lets you visualize multi-scale and multi-density cluster structure present in the data. This is used to guide the choice of parameters that lead to the final clustering.

Installing

Make sure you are using Python 3. Persistable depends on the following python packages, which will be installed automatically when you install with pip: numpy, scipy, scikit-learn, cython, plotly, dash, diskcache, multiprocess, psutil. To install from pypi, simply run the following:

pip install persistable-clustering

Contents

• Quick start
• Introduction to Persistable
  • Background: the DBSCAN algorithm
  • Clustering with Persistable
  • Choosing a slice
• A bit of theory
  • The barcode of a hierarchical clustering
  • The persistence-based flattening algorithm
• Related tools for density-based clustering
• API Reference
  • Index
  • Details