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CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 3 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...
IJAR
2008
88views more  IJAR 2008»
15 years 3 months ago
Clustering decomposed belief functions using generalized weights of conflict
We develop a method for clustering all types of belief functions, in particular non-consonant belief functions. Such clustering is done when the belief functions concern multiple ...
Johan Schubert
PAKDD
2007
ACM
143views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Clustering Ensembles Based on Normalized Edges
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
Yan Li, Jian Yu, Pengwei Hao, Zhulin Li
WAIM
2007
Springer
15 years 10 months ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...
IWPC
1996
IEEE
15 years 8 months ago
Evaluating process clusters to support automatic program understanding
Evaluating the design of a distributed application is di cult but provides useful information for program development and maintenance. In distributed debugging, for example, proce...
Thomas Kunz