Clustering is the process of grouping data objects into a set of disjoint classes, called clusters, so that objects within a cluster have high similarity to each other, while objects in other clusters are more dissimilar. Clustering is an example of unsupervised classification. "Classification" refers to a procedure that assigns data objects to a set of predefined classes. "Unsupervised" means that clustering does not rely on predefined classes and training examples while classifying the data objects.
Bitte wählen Sie Ihr Anliegen aus.
Rechnungen
Retourenschein anfordern
Bestellstatus
Storno