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name: persistable | ||
title: Persistable | ||
tags: | ||
- lang/python | ||
- type/clustering | ||
- type/persistence | ||
- complex/rips | ||
- complex/cluster-tree | ||
- complex/rips-weighted | ||
- custom/distance | ||
- vis/diagram | ||
- vis/barcode | ||
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links: | ||
- name: Repository | ||
url: https://github.com/LuisScoccola/persistable | ||
- name: Docs | ||
url: https://persistable.readthedocs.io | ||
- name: Software Paper | ||
url: https://joss.theoj.org/papers/10.21105/joss.05022 | ||
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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. Persistable is based on multi-parameter persistence, a method from topological data analysis. |