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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 7 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
JCB
2002
160views more  JCB 2002»
15 years 6 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
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
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 7 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 7 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon