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A Hierarchical Visualization Tool to Analyse the Thermal Evolution of Construction Materials

  • Emilio Corchado
  • Pedro Burgos
  • María del Mar Rodríguez
  • Verónica Tricio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3190)

Abstract

This paper proposes a new visualization tool based on feature selection and the identification of underlying factors. The goal of this method is to visualize and extract information from complex and high dimensional data sets. The model proposed is an extension of Maximum Likelihood Hebbian Learning based on a family of cost functions, which maximizes the likelihood of identifying a specific distribution in the data while minimizing the effect of outliers. We present and demonstrate a hierarchical extension method which provides an interactive method for visualizing and identifying possibly hidden structure in the dataset. We have applied this method to investigate and visualize the thermal evolution of several frequent construction materials under different thermal and humidity environmental conditions.

Keywords

Construction Material Thermal Evolution Transitory State Thermal Flux Projection Pursuit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Emilio Corchado
    • 1
  • Pedro Burgos
    • 1
  • María del Mar Rodríguez
    • 2
  • Verónica Tricio
    • 2
  1. 1.Department of Civil EngineeringUniversity of BurgosBurgosSpain
  2. 2.Department of PhysicsUniversity of BurgosBurgosSpain

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