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» A Method for Dynamic Clustering of Data
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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 6 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 7 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
WWW
2010
ACM
15 years 10 months ago
Hierarchical cluster visualization in web mapping systems
This paper presents a technique for visualizing large spatial data sets in Web Mapping Systems (WMS). The technique creates a hierarchical clustering tree, which is subsequently u...
Jean-Yves Delort
BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
SIGCOMM
2010
ACM
15 years 6 months ago
NapSAC: design and implementation of a power-proportional web cluster
Energy consumption is a major and costly problem in data centers. A large fraction of this energy goes to powering idle machines that are not doing any useful work. We identify tw...
Andrew Krioukov, Prashanth Mohan, Sara Alspaugh, L...