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SSPR
2010
Springer
15 years 2 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
ISBI
2008
IEEE
16 years 4 months ago
An information-based clustering approach for fMRI activation detection
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
Lijun Bai, Wei Qin, Jimin Liang, Jie Tian
ICCAD
2005
IEEE
98views Hardware» more  ICCAD 2005»
16 years 28 days ago
Clustering for processing rate optimization
Clustering (or partitioning) is a crucial step between logic synthesis and physical design in the layout of a large scale design. A design verified at the logic synthesis level m...
Chuan Lin, Jia Wang, Hai Zhou
ICPP
2006
IEEE
15 years 10 months ago
Managing Risk of Inaccurate Runtime Estimates for Deadline Constrained Job Admission Control in Clusters
The advent of service-oriented Grid computing has resulted in the need for Grid resources such as clusters to enforce user-specific service needs and expectations. Service Level ...
Chee Shin Yeo, Rajkumar Buyya
AUSDM
2008
Springer
230views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Combining Structure and Content Similarities for XML Document Clustering
This paper proposes a clustering approach that explores both the content and the structure of XML documents for determining similarity among them. Assuming that the content and th...
Tien Tran, Richi Nayak, Peter Bruza