This project uses machine learning to predict key metrics (number of employees, revenue) for Chinese companies and cluster them based on their characteristics. It applies classical 3D K-Means ...

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R ...

Our approach is an improved version of a previous hierarchical clustering algorithm, which performs pairwise clustering of triangle patches from bottom to top. The key contributions of our approach ...

Scientists reveal that cheese-derived bacteria, particularly less abundant strains, can shape gut microbiota and enhance ...

Abstract: In an age characterized by seamless interconnectivity, the quantity of Internet of Things (IoT) devices has experienced substantial growth in recent years, with projections indicating ...

Finally, the individual subtypes are automatically derived by hierarchical clustering on these network representations. Results: We applied netMUG to a dataset containing genomic data and facial ...

Phishing attacks have become increasingly sophisticated, leveraging generative AI to create deceptive emails and malicious ...

The National Synchrotron Light Source II (NSLS-II)—a U.S. Department of Energy (DOE) Office of Science user facility at DOE's ...

The following is a summary of “Geotemporal Analysis of Melanoma Incidence and Mortality Identifies Distinct Clusters of Trends within the United States Between 2001 and 2019,” published in the ...