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BMCBI
2007
173views more  BMCBI 2007»
15 years 6 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
SADM
2010
141views more  SADM 2010»
15 years 1 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
IEEECIT
2010
IEEE
15 years 5 months ago
Technical Research of Streaming Media Video Course Development Platform
—To solve the problem of streaming video courseware high production cost and low efficiency, the video recording and broadcasting system "Estone" gathering multimedia d...
Qingsheng Li, Jipeng Wang
PET
2012
Springer
13 years 9 months ago
Differentially Private Continual Monitoring of Heavy Hitters from Distributed Streams
We consider applications scenarios where an untrusted aggregator wishes to continually monitor the heavy-hitters across a set of distributed streams. Since each stream can contain ...
T.-H. Hubert Chan, Mingfei Li, Elaine Shi, Wenchan...
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
15 years 12 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen