Συλλογές
Τίτλος Model based clustering for high dimensional data
Εναλλακτικός τίτλος Ομαδοποίηση με τη χρήση μοντέλων για δεδομένα μεγάλων διαστάσεων
Δημιουργός Paizi, Vassiliki
Συντελεστής Karlis, Dimitrios
Athens University of Economics and Business, Department of Statistics
Τύπος Text
Φυσική περιγραφή 86 p.
Γλώσσα en
Περίληψη The rapid increase in the size of data sets makes clustering all the more important to capture and summarize the information; at the same time clustering is more difficult to be accomplished. If model-based clustering is applied directly to a large data set, it is too slow for practical application. A simple and common approach is to first cluster a random sample of moderate size, and then use this clustering model in this way to classify the remainder of the objects.
Λέξη κλειδί Model- based clustering
Large data
Factor analyzers
Ημερομηνία έκδοσης 30-06-2016
Άδεια χρήσης https://creativecommons.org/licenses/by/4.0/