Nature-inspired algorithms draw on mechanisms found in biological and physical systems to tackle the challenge of partitioning complex datasets into meaningful groups. By emulating processes such as ...

Functional data clustering addresses the challenge of grouping observations that are best represented as continuous curves or trajectories rather than discrete points. By treating each datum as a ...

Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and clustering data. A self-organizing map (SOM) is a data structure that can be used ...

Indexes are fundamental to database performance, but too often, they’re treated as “set it and forget it” structures. As the data landscape evolves—with hybrid cloud deployments, real-time analytics, ...