Code & Libraries

High performance density-based clustering tools that scale to large datasets while remaining easy to integrate with R workflows.

This R package provides a fast C++ (re)implementation of several density-based algorithms with a focus on the DBSCAN family, including DBSCAN, HDBSCAN, OPTICS/OPTICSXi, FOSC, Jarvis-Patrick clustering, SNN clustering, and Outlier Detection methods such as LOF and GLOSH.

Tools for topological data analysis: Mapper streamlines construction of simplicial complexes, while simplextree underpins fast persistence computations.

Estimators for trace and vector quantities derived from matrix functions, with a focus on efficient spectral algorithms.

Provides estimators for trace or vector-valued quantities derived from matrix functions, enabling computation of numerical rank, log-determinant, trace inverses, Schatten norms, matrix exponentials, eigencounts, spectral densities, and more.

Simplex Tree bindings that make combinatorial topology operations easy to orchestrate from Python and R.

simplextree is a joint R/Python package that provides pybind11 bindings to a Simplex Tree data structure implemented in C++17, supporting insertions, removals, expansions, collapses, star/link enumerations, and ordered traversals.