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SYNASC
2005
IEEE
15 years 3 months ago
2005
IEEE
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
GD
2004
Springer
15 years 3 months ago
2004
Springer
In this paper we study simple families of clustered graphs that are highly unconnected. We start by studying 3-cluster cycles, which are clustered graphs such that the underlying ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
KES
2005
Springer
15 years 3 months ago
2005
Springer
A Decentralised Adaptive Clustering (DAC) algorithm for self-monitoring impact sensing networks is presented within the context of CSIRO-NASA Ageless Aerospace Vehicle project. DAC...
SCCC
2005
IEEE
15 years 3 months ago
2005
IEEE
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...