Delves into the relationships between mood disorders, cognitive performance, and brain plasticity in urban environments, using data from medical cohorts.
Explores unsupervised behavior clustering and dimensionality reduction techniques, covering algorithms like K-Means, DBSCAN, and Gaussian Mixture Model.
Explores Kernel K-means clustering, interpreting solutions, handling missing data, and dataset selection for machine learning.
Covers the analysis of road noise reduction measures at the source, focusing on different road coverings and speed reduction impact.
