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EWSN
2007
Springer
16 years 5 months ago
An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks
Many applications in wireless sensor networks (WSNs) benefit significantly from organizing nodes into groups, called clusters, because data aggregation and data filtering applied i...
Quanbin Chen, Jian Ma, Yanmin Zhu, Dian Zhang, Lio...
ICAI
2004
15 years 7 months ago
K-medoid-style Clustering Algorithms for Supervised Summary Generation
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
Nidal M. Zeidat, Christoph F. Eick
ICC
2011
IEEE
257views Communications» more  ICC 2011»
14 years 5 months ago
Increasing the Lifetime of Roadside Sensor Networks Using Edge-Betweenness Clustering
Abstract—Wireless Sensor Networks are proven highly successful in many areas, including military and security monitoring. In this paper, we propose a method to use the edge–bet...
Joakim Flathagen, Ovidiu Valentin Drugan, Paal E. ...
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 11 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
EUSFLAT
2009
220views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Web Usage Mining: users' navigational patterns extraction from web logs using ant-based clustering method
Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs)...
Kobra Etminani, Mohammad R. Akbarzadeh-Totonchi, N...