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K-Means-Clustering-personallise
K-Means-Clustering-personallise PublicThis code implements K-means clustering using the Mahalanobis distance, strategically selecting initial centers to accelerate convergence and enhance stability. It is implemented in C++ using Rcpp …
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xai-segmentation-cnn
xai-segmentation-cnn PublicThis project explores five explainability methods (Seg-Grad-CAM, Seg-XRes-CAM, Seg-HiRes-Grad-CAM, RISE, and SHAP) used to explain CNN models applied to semantic segmentation.
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