Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...
Abstract: K-means clustering is an unsupervised learning algorithm that assigns unlabeled data to different clusters depending on the similarity rather than predefined labels. It finds application in ...
The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
Brian K Vaughan and Niko Henrichon have been serialising Spectators, their adult graphic novel on Exploding Giraffe through Substack over the last three years. It will now be published in a complete ...
The Department of Labor’s (DOL’s) Proposed Rule to add new occupations to the Schedule A list is “dead,” at least for now. Stakeholders see this as a disappointment and a missed opportunity. Schedule ...
CleaRecon DL* is designed to improve cone-beam computed tomography (CBCT) image quality by removing streaks and help clinicians improve their confidence in image interpretation when analyzing CBCT ...
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