K-Means is an interesting, simple, and pretty intuitive algorithm. It turns out it can do more than just clustering, for example classification.| Alexandru Burlacu
With support for native clustering on Kubernetes, NiFi 2 provides a strong foundation for building scalable data pipelines. Unlocking the potential of NiFi on Kubernetes requires both foundational capabilities and supporting services, along with the knowledge to bring these elements together. The Datavolo distribution of NiFi incorporates best practices for performance and security, enabling customers to focus on creating multimodal data pipelines.| Datavolo
We are excited to announce the release of Stalwart Mail Server v0.8.0, a significant update that introduces powerful new features and enhancements designed to improve performance, scalability, and ease of use. This release marks a major step forward in our commitment to providing a robust and highly available email server solution for businesses and organizations of all sizes.| stalw.art
We will implement the DBSCAN clustering algorithm in Rust. As its input, the algorithm will take a distance matrix rather than a set of points or feature vectors. This will make the implemented algorithm useful in situations when the dataset is not formed by points or when features cannot be easily extracted. The complete source code, including comments and tests, is available on GitHub.| Petr Zemek
Gaussian Mixture Models: A more robust alternative to KMeans.| Daily Dose of Data Science