CastleRAT and CastleLoader, active since March 2025, spread malware via phishing and GitHub repos, enabling data theft.

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns.

The Burmese python — an apex predator that can grow over 18 feet long and eat animals larger than itself — has decimated native wildlife throughout much of South Florida.

K-Means Clustering Overview K-Means aims to partition your data into K distinct, non-overlapping clusters based on similarity. It minimizes the within-cluster sum of squares (WCSS) — i.e., how close ...

Now that we have covered much theory with regards to K-means clustering, I think it's time to give some example code written in Python. For this purpose, we're using the scikit-learn library, which is ...

This paper is my own attempt to make K-means code and API, using Python and Java to jointly complete a project. The Python is mainly used to write the framework of the core algorithm of K-means, and ...

K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be specified for ...