The standard, ad-hoc stopping criteria used in decision tree-based context clustering are known to be sub-optimal and require parameters to be tuned. This paper proposes a new app...
This paper explains some analyses that can be performed on a hierarchical finite state machine to validate that it performs as intended. Such a hierarchical state machine has tra...
Enterprise storage systems depend on disk arrays for their capacity and availability needs. To design and maintain storage systems that efficiently satisfy evolving requirements, ...
Mustafa Uysal, Guillermo A. Alvarez, Arif Merchant
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...