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» Evaluation of clustering algorithms for gene expression data
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DAWAK
2009
Springer
16 years 1 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
INFOVIS
1998
IEEE
15 years 10 months ago
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data
The order and arrangement of dimensions (variates) is crucial for the effectiveness of a large number of visualization techniques such as parallel coordinates, scatterplots, recur...
Mihael Ankerst, Stefan Berchtold, Daniel A. Keim
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 12 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
BMCBI
2006
108views more  BMCBI 2006»
15 years 6 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman