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: While many data scientists are working hard just to improve a very fractional amount of performance, we wonder if there are any difference in performance of clustering among the platform we ...

What does the Philadelphia Eagles' trade for Jakorian Bennett mean for current cornerback Kelee Ringo? The Philadelphia Eagles and Las Vegas Raiders completed a trade earlier this week that sent ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

1 Facultad de Ingeniería, Universidad Andres Bello, Santiago, Chile. 2 Department of Mining Engineering, Universidad de Chile, Santiago, Chile. 3 Advanced Mining Technology Center, Universidad de ...

Four utterances of 10 digits sampled at 8 kHz from each of 4 male speakers are provided. A template based digit recognition is developed with the help of k-means algorithm.

In cognitive diagnostic assessment (CDA), clustering analysis is an efficient approach to classify examinees into attribute-homogeneous groups. Many researchers have proposed different methods, such ...