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Guillermo Ricardo Simari | D. Higham | M. Kibble | G. Kalna | Ana G. Maguitman | Carlos Iván Chesñ Evar
[1] Desmond J. Higham,et al. ANALYSIS OF THE SINGULAR VALUE DECOMPOSITION AS A TOOL FOR PROCESSING MICROARRAY EXPRESSION DATA , 2005 .
[2] Pablo Tamayo,et al. Metagenes and molecular pattern discovery using matrix factorization , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[3] Eivind Hovig,et al. Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data , 2003, BMC Bioinformatics.
[4] Joseph T. Chang,et al. Spectral biclustering of microarray data: coclustering genes and conditions. , 2003, Genome research.
[5] Alfonso Valencia,et al. Clustering of proximal sequence space for the identification of protein families , 2002, Bioinform..
[6] B. Snel,et al. The identification of functional modules from the genomic association of genes , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[7] T. Poggio,et al. Prediction of central nervous system embryonal tumour outcome based on gene expression , 2002, Nature.
[8] Y. Tu,et al. Gene Expression Profiling of B Cell Chronic Lymphocytic Leukemia Reveals a Homogeneous Phenotype Related to Memory B Cells , 2001, The Journal of experimental medicine.
[9] Esther Jennings,et al. Evaluating graph theoretic clustering algorithms for reliable multicasting , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).
[10] Inderjit S. Dhillon,et al. Co-clustering documents and words using bipartite spectral graph partitioning , 2001, KDD '01.
[11] Richard M. Karp,et al. CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts , 2001, ISMB.
[12] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[13] Santosh S. Vempala,et al. On clusterings-good, bad and spectral , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[14] G. Getz,et al. Coupled two-way clustering analysis of gene microarray data. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[15] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[16] Yair Weiss,et al. Segmentation using eigenvectors: a unifying view , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[17] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[18] Shang-Hua Teng,et al. Spectral partitioning works: planar graphs and finite element meshes , 1996, Proceedings of 37th Conference on Foundations of Computer Science.
[19] Bruce Hendrickson,et al. An Improved Spectral Graph Partitioning Algorithm for Mapping Parallel Computations , 1995, SIAM J. Sci. Comput..
[20] Dirk Roose,et al. An Improved Spectral Bisection Algorithm and its Application to Dynamic Load Balancing , 1995, EUROSIM International Conference.
[21] H. D. Simon,et al. A spectral algorithm for envelope reduction of sparse matrices , 1993, Supercomputing '93. Proceedings.
[22] Bruce Hendrickson,et al. The Chaco user`s guide. Version 1.0 , 1993 .
[23] B. Hendrickson. The Chaco User � s Guide Version , 2005 .
[24] Jitendra Malik,et al. Extracting Global Structure from Gene Expression Profiles , 2002 .
[25] Charles J. Alpert,et al. Spectral Partitioning: The More Eigenvectors, The Better , 1995, 32nd Design Automation Conference.
[26] M. Fiedler. A property of eigenvectors of nonnegative symmetric matrices and its application to graph theory , 1975 .