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» Combining Multiple Clustering Systems
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SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
14 years 7 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
IJCAI
2007
13 years 11 months ago
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
Shehroz S. Khan, Shri Kant
MLDM
2007
Springer
14 years 4 months ago
Selection of Experts for the Design of Multiple Biometric Systems
Abstract. In the biometric field, different experts are combined to improve the system reliability, as in many application the performance attained by individual experts (i.e., d...
Roberto Tronci, Giorgio Giacinto, Fabio Roli
MSS
2007
IEEE
153views Hardware» more  MSS 2007»
14 years 4 months ago
Hybrid Host/Network Topologies for Massive Storage Clusters
The high demand for large scale storage capacity calls for the availability of massive storage solutions with high performance interconnects. Although cluster file systems are rap...
Asha Andrade, Ungzu Mun, Dong Hwan Chung, Alexande...
IPPS
2002
IEEE
14 years 3 months ago
Enforcing Resource Sharing Agreements among Distributed Server Clusters
Future scalable, high throughput, and high performance applications are likely to execute on platforms constructed by clustering multiple autonomous distributed servers, with reso...
Tao Zhao, Vijay Karamcheti