Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
Prior work in the eld of packet radio networks has often assumed a simple success-if-exclusive model of successful reception. This simple model is insucient to model interference...
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Generalized speedup is dened as parallel speed over sequential speed. In this paper the generalized speedup and its relation with other existing performance metrics, such as trad...