People are often confused about what these are and what the difference is. So here is an explanation using the old-fashioned way: in an Excel spreadsheet Machine learning gets a lot of buzz. The two ...

Everybody is talking about keyword clusters. At the core, it’s pretty simple – group related keywords together. Sounds easy, right? Some free tools walk you through some basic Natural Language ...

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 ...

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...