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CVPR
2008
IEEE
16 years 1 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu
ICDS
2009
IEEE
15 years 6 months ago
A Hybrid Approach for Clustering-Based Data Aggregation in Wireless Sensor Networks
—In a wireless sensor network application for tracking multiple mobile targets, large amounts of sensing data can be generated by a number of sensors. These data must be controll...
Woo Sung Jung, Keun Woo Lim, Young-Bae Ko, Sang-Jo...
BMCBI
2010
151views more  BMCBI 2010»
14 years 12 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
ITIIS
2010
151views more  ITIIS 2010»
14 years 10 months ago
Practical Data Transmission in Cluster-Based Sensor Networks
Data routing in wireless sensor networks must be energy-efficient because tiny sensor nodes have limited power. A cluster-based hierarchical routing is known to be more efficient ...
Dae Young Kim, Jinsung Cho, Byeong-Soo Jeong
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
15 years 12 months ago
An efficient and accurate method for evaluating time series similarity
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Michael D. Morse, Jignesh M. Patel