Clustering algorithms are a form of unsupervised learning algorithm. With unsupervised learning, an algorithm is subjected to “unknown” data for which no previously defined categories or ...

AI clustering is the machine learning (ML) process of organizing data into subgroups with similar attributes or elements. Clustering algorithms tend to work well in environments where the answer ...

There are many different clustering algorithms because the effectiveness of a particular algorithm depends on the characteristics of the data being clustered. The most basic algorithm is called ...

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 ...