Eigen-Component Analysis (ECA): A quantum theory-inspired linear model for classification and clustering with interpretable feature-to-class mappings. This implementation provides both supervised (ECA) and unsupervised (UECA) algorithms with scikit-learn compatible API. Based on research published in IEEE ISCAS 2025.
