A new approach to the maximum-flow problem
Journal of the ACM (JACM)
A fast parametric maximum flow algorithm and applications
SIAM Journal on Computing
Elements of information theory
Elements of information theory
IPCAT '97 Proceedings of the second international workshop on Information processing in cell and tissues
A clustering algorithm based on graph connectivity
Information Processing Letters
A Monte Carlo algorithm for fast projective clustering
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Discovering local structure in gene expression data: the order-preserving submatrix problem
Proceedings of the sixth annual international conference on Computational biology
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Optimal algorithms for complete linkage clustering in d dimensions
Theoretical Computer Science
Greedy approximation algorithms for finding dense components in a graph
APPROX '00 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization
The maximum edge biclique problem is NP-complete
Discrete Applied Mathematics
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
Clustering Large Graphs via the Singular Value Decomposition
Machine Learning
A New Conceptual Clustering Framework
Machine Learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
How Fast Is the k-Means Method?
Algorithmica
Performance guarantees for hierarchical clustering
Journal of Computer and System Sciences - Special issue on COLT 2002
Handbook of Computational Molecular Biology (Chapman & All/Crc Computer and Information Science Series)
Graph mining: Laws, generators, and algorithms
ACM Computing Surveys (CSUR)
The complexity of detecting fixed-density clusters
Discrete Applied Mathematics
The Effectiveness of Lloyd-Type Methods for the k-Means Problem
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Hierarchical multi-label prediction of gene function
Bioinformatics
Efficient Detection of Network Motifs
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
COPASI---a COmplex PAthway SImulator
Bioinformatics
Finding biclusters by random projections
Theoretical Computer Science
A PTAS for k-means clustering based on weak coresets
SCG '07 Proceedings of the twenty-third annual symposium on Computational geometry
Bi-criteria linear-time approximations for generalized k-mean/median/center
SCG '07 Proceedings of the twenty-third annual symposium on Computational geometry
Ruling Out PTAS for Graph Min-Bisection, Dense k-Subgraph, and Bipartite Clique
SIAM Journal on Computing
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
A Sequential Algorithm for Generating Random Graphs
APPROX '07/RANDOM '07 Proceedings of the 10th International Workshop on Approximation and the 11th International Workshop on Randomization, and Combinatorial Optimization. Algorithms and Techniques
An optimal hierarchical clustering algorithm for gene expression data
Information Processing Letters
Reconstructing the topology of protein complexes
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Network motif discovery using subgraph enumeration and symmetry-breaking
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Inapproximability of maximum weighted edge biclique and its applications
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
Parallel information theory based construction of gene regulatory networks
HiPC'08 Proceedings of the 15th international conference on High performance computing
Semi-Supervised Learning
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