The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Sometimes we get so used to dreamy landscapes and cute puppies that we forget about nature's dark side. But it's there.

️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...

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 data points in the same ...

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 algorithms to a ...

Abstract: The study utilizes a K-Means clustering analysis model to analyze the learning behavior data generated by online learners on an online learning platform ...

The Cleveland Guardians' successful pitching development group isn't a secret. They have a strong history of turning prospects into aces with long, successful careers. However, the Guardians are ...

Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States Laufer Center for ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...