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BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 7 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
14 years 1 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
EUROGP
2005
Springer
114views Optimization» more  EUROGP 2005»
14 years 27 days ago
Repeated Patterns in Tree Genetic Programming
We extend our analysis of repetitive patterns found in genetic programming genomes to tree based GP. As in linear GP, repetitive patterns are present in large numbers. Size fair cr...
William B. Langdon, Wolfgang Banzhaf
ISVLSI
2007
IEEE
184views VLSI» more  ISVLSI 2007»
14 years 1 months ago
Activity-Aware Registers Placement for Low Power Gated Clock Tree Construction
As power consumption of the clock tree dominates over 40% of the total power in modern high performance VLSI designs, measures must be taken to keep it under control. One of the m...
Weixiang Shen, Yici Cai, Xianlong Hong, Jiang Hu
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
13 years 8 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov