Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
In current superscalar processors, all floating-point resources are idle during the execution of integer programs. As previous works show, this problem can be alleviated if the fl...
Ramon Canal, Joan-Manuel Parcerisa, Antonio Gonz&a...
Abstract— In this paper we consider the problem of clustering sequential circuits subject to a bound on the area of each cluster, with the objective of minimizing the clock perio...
Energy efficient operations are essential to increase the lifetime of wireless sensor network. A clustering-based protocol is one approach that reduces energy by a data aggregation...