Cluster Analysis

Cluster analysis is a method for exploring the underlying structure of large and often high-dimensional sets of feature vectors that does not require further assumptions or a priori knowledge. Given a predefined distance or similarity measure, a cluster of feature vectors is defined as collection of vectors which are similar. Cluster analysis is based on statistical methods and has been developed over the past 40 years. Clustering methods are applied in data mining.

Research in our department:

Friedhelm Schwenker