Now, let’s see these rules in place. When non-numeric values are part of the data set, sparklines will represent them in various ways. Figure A shows a simple data set with blanks, zeros and errors.

Clustering non-numeric -- or categorial -- data is surprisingly difficult, ... Figure 1: Clustering Non-Numeric Data Using C# in Action. A good way to see where this article is headed and to ...

An interview with Dr. Eshan Mitra, discussing the importance of computer models in biology and the development of a more accurate model of the RAF phosphorylation pathway.

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 ...