Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

[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 .