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» A divide-and-merge methodology for clustering
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KDD
1997
ACM
72views Data Mining» more  KDD 1997»
15 years 2 months ago
Detecting Atmospheric Regimes Using Cross-Validated Clustering
Low-frequency variability in geopotential height records of the Northern Hemisphere is a topic of significance in atmospheric science, having profound implications for climate mod...
Padhraic Smyth, Michael Ghil, Kayo Ide, Joseph Rod...
DATE
2008
IEEE
117views Hardware» more  DATE 2008»
15 years 4 months ago
A Scalable Algorithmic Framework for Row-Based Power-Gating
Leakage power is a serious concern in nanometer CMOS technologies. In this paper we focus on leakage reduction through automatic insertion of sleep transistors for power gating in...
Ashoka Visweswara Sathanur, Antonio Pullini, Luca ...
ISPD
1998
ACM
110views Hardware» more  ISPD 1998»
15 years 2 months ago
Performance-driven soft-macro clustering and placement by preserving HDL design hierarchy
In this paper, we present a performance-driven softmacro clustering and placement method which preserves HDL design hierarchy to guide the soft-macro placement process. We also pr...
Hsiao-Pin Su, Allen C.-H. Wu, Youn-Long Lin
NN
2006
Springer
105views Neural Networks» more  NN 2006»
14 years 10 months ago
Unfolding preprocessing for meaningful time series clustering
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
Geoffroy Simon, John Aldo Lee, Michel Verleysen
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
15 years 10 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...