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IDEAL
2007
Springer
16 years 1 months 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...
ICPADS
2005
IEEE
16 years 1 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
ICCNMC
2005
Springer
16 years 26 days 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
16 years 25 days 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...
CLUSTER
2003
IEEE
16 years 22 days 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...