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CIKM
2009
Springer
16 years 1 months ago
Fragment-based clustering ensembles
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Ou Wu, Mingliang Zhu, Weiming Hu
NETCOOP
2009
Springer
16 years 1 months ago
Probabilistic Analysis of Hierarchical Cluster Protocols for Wireless Sensor Networks
Wireless sensor networks are designed to extract data from the deployment environment and combine sensing, data processing and wireless communication to provide useful information ...
Ingemar Kaj
MM
2009
ACM
125views Multimedia» more  MM 2009»
16 years 1 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben
ISBI
2007
IEEE
16 years 26 days ago
Multivariate Hypothesis Testing of Dti Data for Tissue Clustering
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
Raisa Z. Freidlin, Yaniv Assaf, Peter J. Basser
GLOBECOM
2006
IEEE
16 years 19 days ago
A Distributed Size-bounded Multi-hop Clustering for Mobile Ad Hoc Networks
— During the last few years there has been a rapid development in mobile ad hoc networks (MANETs). To make the operations of a MANET more efficient, one approach is to construct...
Yong Wang, Muralidhar Medidi