The aim of this paper is to compare two different clustering methods We consider DBSCAN before in terms of reachability and after in terms of ordering (OPTICS algorithm); the other based on the use of Seg-DBSCAN our new version of DBSCAN that limits the arbitrariness of the choice of input parameters. As an application we use a meaningful data set and we compare the described methods.
A modified density-based algorithm for clustering
MONTRONE, Silvestro;PERCHINUNNO, Paola;L'Abbate S.
2012-01-01
Abstract
The aim of this paper is to compare two different clustering methods We consider DBSCAN before in terms of reachability and after in terms of ordering (OPTICS algorithm); the other based on the use of Seg-DBSCAN our new version of DBSCAN that limits the arbitrariness of the choice of input parameters. As an application we use a meaningful data set and we compare the described methods.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
