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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.

complex/cluster-tree complex/rips complex/rips-weighted custom/distance lang/python type/clustering type/persistence vis/barcode vis/diagram