Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
: In modern organisations the monolithic information systems of the past are being gradually replaced by networked systems, enabling distributed computing often based on multi-agen...
One of the primary methods of studying change in the natural and man-made environment is that of comparison of multi-date maps and images of the earth's surface. Such comparis...
Christopher B. Jones, J. Mark Ware, David R. Mille...
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Massively deploying RFID systems while preserving people's privacy and data integrity is a major security challenge of the coming years. Up to now, it was commonly believed th...