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163
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IDEAL
2007
Springer
16 years 9 days ago
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
Francisco Martínez-Álvarez, Alicia T...
166
Voted
ICPADS
2005
IEEE
15 years 11 months ago
A Configurable Time-Controlled Clustering Algorithm for Wireless Sensor Networks
Future large-scale sensor networks may comprise thousands of wirelessly connected sensor nodes that could provide an unimaginable opportunity to interact with physical phenomena i...
S. Selvakennedy, Sukunesan Sinnappan
227
Voted
ICCNMC
2005
Springer
15 years 11 months ago
Energy Aware Routing Based on Adaptive Clustering Mechanism for Wireless Sensor Networks
Abstract. The main goal of research concerning energy aware routing algorithm for wireless sensor network is to increase the lifetime and long-term connectivity of the wireless sen...
Sangho Yi, Geunyoung Park, Junyoung Heo, Jiman Hon...
COLT
2004
Springer
15 years 11 months ago
On the Convergence of Spectral Clustering on Random Samples: The Normalized Case
Given a set of n randomly drawn sample points, spectral clustering in its simplest form uses the second eigenvector of the graph Laplacian matrix, constructed on the similarity gra...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
164
Voted
CLUSTER
2003
IEEE
15 years 11 months ago
A Cluster-Based Solution for High Performance Hmmpfam Using EARTH Execution Model
Hmmpfam is a widely used computation-intensive bioinformatics software for sequence classification. The contribution of this paper is the first largely scalable and robust clust...
Weirong Zhu, Yanwei Niu, Jizhu Lu, Chuan Shen, Gua...