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» Cluster Analysis of High-Dimensional Data: A Case Study
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BMCBI
2008
115views more  BMCBI 2008»
13 years 7 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 9 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
CSDA
2010
105views more  CSDA 2010»
13 years 7 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock
IV
2005
IEEE
136views Visualization» more  IV 2005»
14 years 1 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim
ISPASS
2005
IEEE
14 years 1 months ago
Performance Analysis of a New Packet Trace Compressor based on TCP Flow Clustering
In this paper we study the properties of a new packet trace compression method based on clustering of TCP flows. With our proposed method, the compression ratio that we achieve i...
Raimir Holanda, Javier Verdú, Jorge Garc&ia...