961 search results - page 95 / 193 » Significance-Driven Graph Clustering |
144
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CANDC
2006
ACM
15 years 4 months ago
2006
ACM
Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochem...
137
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
164
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
137
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PPAM
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. The paper presents an algorithm for scheduling parallel programs for execution in a parallel architecture based on dynamic SMP processor clusters with data transfers on t...
159
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INFOVIS
1999
IEEE
15 years 8 months ago
1999
IEEE
A new method is presented to get insight into univariate time series data. The problem addressed here is how to identify patterns and trends on multiple time scales (days, weeks, ...