Clustering?

The goal of clustering data is to find groups (clusters) of data items that are similar to each other and different from the rest of the dataset. Clustering is a method to summarize the main characteristics of a dataset. For example, a music collection could be summarized by describing the groups (genres) it consists of. Each group could be described, for example, by the number and variation of its members. It might also be interesting to know the relationship between these groups. For example, a genre might have several sub-genres.

For the purpose of clustering data several algorithms have been developed. One very frequently employed clustering algorithm is the SOM.