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FLAIRS
2004
15 years 1 months ago
Clustering Spatial Data in the Presence of Obstacles
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
Xin Wang, Howard J. Hamilton
ICWN
2004
15 years 1 months ago
A Distributed Clustering Framework in Mobile Ad Hoc Networks
Abstract-- In this paper, we present a completely distributed algorithm for partitioning a given set of mobile nodes into clusters. The proposed algorithm tries to reduce the amoun...
Mohit Garg, R. K. Shyamasundar
ECIR
2009
Springer
15 years 9 months ago
Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints
This paper presents a new approach designed to reduce the computational load of the existing clustering algorithms by trimming down the documents size using fingerprinting methods...
Javier Parapar, Alvaro Barreiro
CCGRID
2005
IEEE
15 years 5 months ago
Evaluating the performance of the dNFSP file system
Parallel I/O in cluster computing is one of the most important issues to be tackled as clusters grow larger and larger. Many solutions have been proposed for the problem and, whil...
R. Kassick, Caciano Machado, Everton Hermann, Rafa...
CLUSTER
2009
IEEE
15 years 6 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...