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» Recovery Rate of Clustering Algorithms
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BMCBI
2005
198views more  BMCBI 2005»
15 years 3 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
128
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KDD
2010
ACM
304views Data Mining» more  KDD 2010»
15 years 2 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
BMCBI
2007
152views more  BMCBI 2007»
15 years 3 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 10 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
DAGM
2005
Springer
15 years 9 months ago
Cluster-Based Point Cloud Analysis for Rapid Scene Interpretation
A histogram-based method for the interpretation of three-dimensional (3D) point clouds is introduced, where point clouds represent the surface of a scene of multiple objects and ba...
Eric Wahl, Gerd Hirzinger