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» Cluster Analysis of High-Dimensional Data: A Case Study
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ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
14 years 1 months ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang
BMCBI
2010
164views more  BMCBI 2010»
13 years 8 months ago
Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions
Background: The pan-genome of a bacterial species consists of a core and an accessory gene pool. The accessory genome is thought to be an important source of genetic variability i...
Chad Laing, Cody Buchanan, Eduardo N. Taboada, Yon...
BMCBI
2006
163views more  BMCBI 2006»
13 years 8 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
ACCV
2007
Springer
14 years 2 months ago
Face Mis-alignment Analysis by Multiple-Instance Subspace
In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a nov...
Zhiguo Li, Qingshan Liu, Dimitris N. Metaxas
BMCBI
2005
198views more  BMCBI 2005»
13 years 7 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....