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NIPS
2004
15 years 6 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...
CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 5 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
IPMI
2001
Springer
16 years 6 months ago
Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering
A mixture model clustering algorithm is presented for robust MRI brain image segmentation in the presence of partial volume averaging. The method uses additional classes to represe...
Aljaz Noe, James C. Gee
AINA
2006
IEEE
15 years 11 months ago
Clustering Protocol for Sensor Networks
In this paper we present Clustering Protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce de...
Arjan Durresi, Vamsi Paruchuri, Leonard Barolli
MSS
2003
IEEE
76views Hardware» more  MSS 2003»
15 years 10 months ago
A Scalable Architecture for Clustered Network Attached Storage
Network attached storage systems must provide highly available access to data while maintaining high performance, easy management, and maximum scalability. In this paper, we descr...
Jonathan D. Bright, John A. Chandy