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NIPS
2003
15 years 7 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
ALGORITHMICA
2006
132views more  ALGORITHMICA 2006»
15 years 6 months ago
Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs
Hierarchical graphs and clustered graphs are useful non-classical graph models for structured relational information. Hierarchical graphs are graphs with layering structures; clus...
Peter Eades, Qing-Wen Feng, Xuemin Lin, Hiroshi Na...
PDPTA
2003
15 years 7 months ago
Subway: Peer-to-Peer Clustering Of Clients for Web Proxy
Many cooperated web cache systems and protocols have been proposed. But, these systems need the expensive resources, such as core-link bandwidth and proxy cpu or storage, and need...
Kyungbaek Kim, Daeyeon Park
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 6 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
ICMLA
2007
15 years 7 months ago
A Clustering-Based Approach to Predict Outcome in Cancer Patients
Abstract—The TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients. However, the TNM is not accurate in prediction, pa...
Kai Xing, Donald Henson, Dechang Chen, Li Sheng