GMMmodeller
GMMmodeller is a software package designed for building, fitting, and evaluating Gaussian mixture models (GMMs). It provides a flexible, probabilistic framework for clustering and density estimation, accommodating both univariate and multivariate data. The tool targets researchers, data scientists, and educators who require configurable mixture models and transparent inference processes.
Key capabilities include support for multiple covariance structures (full, diagonal, spherical, and tied), a range of
GMMmodeller provides a Python API and a command-line interface, designed to integrate with NumPy and SciPy.
Common applications include customer segmentation, anomaly detection, probabilistic clustering in biomedical data, and density estimation in
Development is community-driven and open source, with ongoing contributions from researchers and practitioners. Documentation, tutorials, and