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CIT
2007
Springer
16 years 20 days ago
Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Sriparna Saha, Sanghamitra Bandyopadhyay
INFOVIS
2003
IEEE
15 years 11 months ago
A Visual Workspace for Hybrid Multidimensional Scaling Algorithms
In visualising multidimensional data, it is well known that different types of data require different types of algorithms to process them. Data sets might be distinguished accordi...
Greg Ross, Matthew Chalmers
CORR
2010
Springer
85views Education» more  CORR 2010»
15 years 6 months ago
The Motif Tracking Algorithm
: The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, ...
William O. Wilson, Phil Birkin, Uwe Aickelin
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
15 years 5 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
16 years 19 days ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec