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» Integrated KL (K-means - Laplacian) Clustering: A New Cluste...
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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 2 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
13 years 2 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
BMCBI
2007
265views more  BMCBI 2007»
13 years 5 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
WCRE
2000
IEEE
13 years 9 months ago
Revisiting the Delta IC Approach to Component Recovery
Component recovery supports program understanding, architecture recovery, and re-use. Among the best known techniques for detection of re-usable objects (related global variables ...
Gerardo Canfora, Jörg Czeranski, Rainer Kosch...
BMCBI
2010
202views more  BMCBI 2010»
13 years 5 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader