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ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 5 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 1 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
HICSS
2006
IEEE
117views Biometrics» more  HICSS 2006»
14 years 2 months ago
Stakeholders, Contradictions and Salience: An Empirical Study of a Norwegian G2G Effort
Previous studies indicate that the expected effects of e-Government are slower to realize than initially expected. Several authors argue that e-Government involves particularly co...
Leif Skiftenes Flak, Stig Nordheim
BIODATAMINING
2008
135views more  BIODATAMINING 2008»
13 years 8 months ago
Fast Gene Ontology based clustering for microarray experiments
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
ISPASS
2003
IEEE
14 years 1 months ago
Performance study of a cluster runtime system for dynamic interactive stream-oriented applications
Emerging application domains such as interactive vision, animation, and multimedia collaboration display dynamic scalable parallelism, and high computational requirements, making ...
Arnab Paul, Nissim Harel, Sameer Adhikari, Bikash ...