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CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 5 months ago
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
Georges Hébrail, Bernard Hugueney, Yves Lec...
MST
2010
187views more  MST 2010»
14 years 11 months ago
Distributed Approximation of Capacitated Dominating Sets
We study local, distributed algorithms for the capacitated minimum dominating set (CapMDS) problem, which arises in various distributed network applications. Given a network graph...
Fabian Kuhn, Thomas Moscibroda
140
Voted
KAIS
2006
126views more  KAIS 2006»
15 years 5 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
128
Voted
INFOCOM
2010
IEEE
15 years 3 months ago
Buffer Management for Aggregated Streaming Data with Packet Dependencies
Abstract—In many applications the traffic traversing the network has inter-packet dependencies due to application-level encoding schemes. For some applications, e.g., multimedia...
Gabriel Scalosub, Peter Marbach, Jörg Liebehe...
CVPR
2007
IEEE
16 years 7 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li