This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani ...
With growing cost of electricity, the power management of server clusters has become an important problem. However, most previous researchers only address the challenge in homogen...
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Topic hierarchies are very useful for managing, searching and browsing large repositories of text documents. The hierarchical clustering methods are used to support the constructi...