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» Alignment using Spectral Clusters
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ASWEC
2008
IEEE
13 years 12 months ago
Root Cause Analysis Using Sequence Alignment and Latent Semantic Indexing
Automatic identification of software faults has enormous practical significance. This requires characterizing program execution behavior. Equally important is the aspect of diagno...
R. P. Jagadeesh Chandra Bose, U. Suresh
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 7 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
BMCBI
2010
113views more  BMCBI 2010»
13 years 10 months ago
Efficient protein alignment algorithm for protein search
Background: Proteins show a great variety of 3D conformations, which can be used to infer their evolutionary relationship and to classify them into more general groups; therefore ...
Zaixin Lu, Zhiyu Zhao, Bin Fu
BMCBI
2006
129views more  BMCBI 2006»
13 years 10 months ago
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps
Background: Protein sequence alignment is one of the basic tools in bioinformatics. Correct alignments are required for a range of tasks including the derivation of phylogenetic t...
Tomas Ohlson, Varun Aggarwal, Arne Elofsson, Rober...
DIS
2006
Springer
14 years 1 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann