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, ...

Apply K-Means clustering on PCA-reduced data. Determine the optimal number of clusters using the elbow method. Visualize clusters in 2D. Compare cluster assignments with actual labels (without using ...

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 ...

Weeks after former President Joe Biden went head-to-head against now-President Donald Trump, Biden announced exactly a year ago, July 21, 2024, that he would bow out of the race — an unprecedented ...

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 ...

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 ...

Abstract: The purpose of this study is to explore the application of K-means clustering algorithm in analyzing college students' mental health. By collecting the data of college students' mental ...

This project consists in the implementation of the K-Means and Mini-Batch K-Means clustering algorithms. This is not to be considered as the final and most efficient algorithm implementation as the ...