Club: Clustering in der Bildverarbeitung

In clusteranalysis, algorithms are used to classify objects or objectgroups in different datasets. Clustering is a typical approach in unsupervised machine learning.

The data is classified without any given example, the algorithm extracts this information directly out of the dataset.

In Lemgo pros and cons of different cluster algorithms are evaluated. Therefore we analyse distinct algorithms of various clustering classes.  e.g. the density based and in lemgo developed algorithm MCProb.