2596 search results - page 54 / 520 » Classes and clusters in data analysis |
105
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ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
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...
113
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BMCBI
2010
14 years 10 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
KDD
1998
ACM
15 years 2 months ago
1998
ACM
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
ICS
2004
Tsinghua U.
15 years 3 months ago
2004
Tsinghua U.
The growing dominance of wire delays at future technology points renders a microprocessor communication-bound. Clustered microarchitectures allow most dependence chains to execute...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Pattern-based clustering is important in many applications, such as DNA micro-array data analysis, automatic recommendation systems and target marketing systems. However, pattern-...