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» A divide-and-merge methodology for clustering
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BMCBI
2010
102views more  BMCBI 2010»
14 years 10 months ago
Alignment and clustering of phylogenetic markers - implications for microbial diversity studies
Background: Molecular studies of microbial diversity have provided many insights into the bacterial communities inhabiting the human body and the environment. A common first step ...
James Robert White, Saket Navlakha, Niranjan Nagar...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 2 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 3 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
15 years 4 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
CLUSTER
2005
IEEE
15 years 3 months ago
A Case for Cooperative and Incentive-Based Coupling of Distributed Clusters
Interest in Grid computing has grown significantly over the past five years. Management of distributed cluster resources is a key issue in Grid computing. Central to management ...
Rajiv Ranjan, Rajkumar Buyya, Aaron Harwood