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» Massive Data Pre-Processing with a Cluster Based Approach
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BIOWIRE
2007
Springer
14 years 1 months ago
A Rule System for Network-Centric Operation in Massively Distributed Systems
Sensor and Actor Networks (SANETs) represent a specific class of massively distributed systems in which classical communication protocols often fail due to scalability problems. N...
Falko Dressler, Reinhard German
CLUSTER
2006
IEEE
13 years 11 months ago
Efficient Data-Movement for Lightweight I/O
Efficient data movement is an important part of any highperformance I/O system, but it is especially critical for the current and next-generation of massively parallel processing ...
Ron Oldfield, Patrick Widener, Arthur B. Maccabe, ...
NIPS
2003
13 years 8 months ago
Geometric Clustering Using the Information Bottleneck Method
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general Information Bottleneck approach. If we cluster the ide...
Susanne Still, William Bialek, Léon Bottou
AIPRF
2008
13 years 8 months ago
A Coherent and Heterogeneous Approach to Clustering
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
Arian Maleki, Nima Asgharbeygi
AUSAI
2009
Springer
14 years 1 months ago
A Graph Distance Based Structural Clustering Approach for Networks
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
Xin Su, Chunping Li