K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...

Monitoring brain injury biomarkers and glucose variation in patients who have suffered an acute cranial injury during the entire first week of hospitalization can provide a more accurate picture of ...

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 ...