Code to predict energy output of solar panels by outside temperature and weather conditions.

The code for Weighted Fisher Discriminant Analysis (WFDA) and Kernel WFDA

The code for Quantized Fisher Discriminant Analysis (QFDA)

The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods

RDA implementation compatible with Scikit-learn API

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

Code for the paper E. Raninen and E. Ollila, “Coupled regularized sample covariance matrix estimator for multiple classes,” in IEEE Transactions on Signal Processing, vol. 69, pp. 5681–5692, 2021, doi: 10.1109/TSP.2021.3118546.

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

Simple machine learning model using scikit-learn