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PRL
2008
135views more  PRL 2008»
13 years 8 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
AI
2006
Springer
14 years 10 days ago
A New Profile Alignment Method for Clustering Gene Expression Data
We focus on clustering gene expression temporal profiles, and propose a novel, simple algorithm that is powerful enough to find an efficient distribution of genes over clusters. We...
Ataul Bari, Luis Rueda
IGPL
2011
13 years 3 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...
VMCAI
2005
Springer
14 years 2 months ago
An Overview of Semantics for the Validation of Numerical Programs
Interval computations, stochastic arithmetic, automatic diļ¬€erentiation, etc.: much work is currently done to estimate and to improve the numerical accuracy of programs but few c...
Matthieu Martel
PG
2007
IEEE
14 years 2 months ago
A Subdivision Arrangement Algorithm for Semi-Algebraic Curves: An Overview
We overview a new method for computing the arrangement of semi-algebraic curves. A subdivision approach is used to compute the topology of the algebraic objects and to segment the...
Julien Wintz, Bernard Mourrain