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DAWAK
2003
Springer
15 years 8 months ago
Clustering by Regression Analysis
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
ICIAP
2007
ACM
16 years 3 months ago
Transformation invariant SOM clustering in Document Image Analysis
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
Simone Marinai, Emanuele Marino, Giovanni Soda
112
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WILF
2007
Springer
147views Fuzzy Logic» more  WILF 2007»
15 years 9 months ago
Fuzzy Ensemble Clustering for DNA Microarray Data Analysis
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...
Roberto Avogadri, Giorgio Valentini
IGPL
2011
14 years 10 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
CCGRID
2008
IEEE
15 years 10 months ago
Clustered Workflow Execution of Retargeted Data Analysis Scripts
Daniel L. Wang, Charles S. Zender, Stephen F. Jenk...