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» Cluster Analysis of High-Dimensional Data: A Case Study
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DATE
2000
IEEE
113views Hardware» more  DATE 2000»
14 years 7 days ago
Static Timing Analysis of Embedded Software on Advanced Processor Architectures
This paper examines several techniques for static timing analysis. In detail, the first part of the paper analyzes the connection of prediction accuracy (worst case execution tim...
André Hergenhan, Wolfgang Rosenstiel
DSN
2007
IEEE
14 years 2 months ago
Scaling and Continuous Availability in Database Server Clusters through Multiversion Replication
In this paper, we study replication techniques for scaling and continuous operation for a dynamic content server. Our focus is on supporting transparent and fast reconfiguration ...
Kaloian Manassiev, Cristiana Amza
JDCTA
2010
228views more  JDCTA 2010»
13 years 2 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
ICCV
2003
IEEE
14 years 9 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
BMCBI
2008
153views more  BMCBI 2008»
13 years 8 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer