Cluster Storage Systems where storage devices are distributed across a large number of nodes are able to reduce the I/O bottleneck problems present in most centralized storage sys...
This paper describes a middleware that enables its target application to dynamically incorporate heterogeneous nodes of a cluster. It distributes the objects of the application ac...
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...