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» Graph Mining based on a Data Partitioning Approach
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115
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BMCBI
2008
184views more  BMCBI 2008»
15 years 20 days ago
Integrating protein-protein interactions and text mining for protein function prediction
Background: Functional annotation of proteins remains a challenging task. Currently the scientific literature serves as the main source for yet uncurated functional annotations, b...
Samira Jaeger, Sylvain Gaudan, Ulf Leser, Dietrich...
EMMCVPR
2001
Springer
15 years 5 months ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...
VLSID
2008
IEEE
138views VLSI» more  VLSID 2008»
16 years 28 days ago
Memory Architecture Exploration Framework for Cache Based Embedded SOC
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
115
Voted
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
15 years 7 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
DBA
2004
113views Database» more  DBA 2004»
15 years 1 months ago
A Quality Measure for Distributed Clustering
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle