The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Nonnegative matrix factorization (NMF) has been successfully applied to many areas of both classification and clustering. Commonly used NMF algorithms mainly target on minimizing the l2 distance or the Kullback-Leibler (KL) divergence, which may not be suitable for nonlinear cases. In this paper, we propose a new decomposition method by maximizing the correntropy between the original and the product...
Though there exist a lot of cluster ensemble approaches, few of them consider how to deal with noisy datasets. In this paper, we design a new noise immunization based cluster ensemble framework named as AP2CE to tackle the challenges raised by noisy datasets. AP2CE not only takes advantage of the affinity propagation algorithm (AP) and the normalized cut algorithm (Ncut), but also possesses the characteristics...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.