Contact
Comment faire ses achats
Livraison
Guide d'achat
Automatic Subspace Clustering
Anglais
175 b
common.delivery_to
Politique de retour sous 30 jours
Ceci pourrait également vous intéresser
/
Livre de poche
40.68
€
Clustering is an important task of data mining. The traditional clustering approaches are designed for searching clusters in the entire space. However, there are usually many irrelevant attributes for clustering in high-dimensional data sets, where the traditional clustering methods often work improperly. Subspace clustering is an extension of traditional clustering that enables finding subspace clusters only in relevant dimensions within a data set. Most subspace clustering methods usually suffer from the issue that their complicated parameter settings are almost troublesome to be determined, and therefore it can be difficult to implement these methods in practical applications. In this book, we introduce two novel subspace clustering methods SUGRA and ASCDD. Both of them are designed with the principle of uncomplicated parameter setting and easy applicability.
À propos du livre
Anglais
