Blog
About

127
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

      Ensembles of Probabilistic Principal Surfaces and Competitive Evolution on Data: two different approaches to data classification

      1 , 2 , 1 , 2 , 3 , 4 , 1 , 4 , 5 , 1 , 4 , 2 , 2 , 2 , 4

      ADA-III - Astronomical Data Analysis III Conference (ADA)

      Astronomical Data Analysis

      29 April - 1 May 2004

      neural networks, genetic algorithms, data mining, visualization

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Probabilistic Principal Surfaces ( PPS) offer very powerful visualization and classification capabilities and overcome most of the shortcomings of other neural tools such as SOM, GTM, etc. More specifically PPS build a probability density function of a given data set of patterns lying in a D-dimensional space (with D >> 3) which can be expressed in terms of a limited number of latent variables laying in a Q-dimensional space (Q is usually 2-3) which can be used to visualize the data in the latent space. PPS may also be arranged in ensembles to tackle very complex classification tasks. Competitive Evolution on Data ( CED) is instead an evolutionary system in which the possible solutions (cluster centroids) compete to conquer the largest possible number of resources (data) and thus partition the input data set in clusters. We discuss the application of Spherical– PPS to two data sets coming, respectively, from astronomy (Great Observatory Origins Deep Survey) and from genetics (microarray data from yeast genoma) and of CED to the genetics data only.

          Related collections

          Most cited references 8

          • Record: found
          • Abstract: not found
          • Article: not found

          Stacked generalization

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Knowledge-based analysis of microarray gene expression data by using support vector machines

                Bookmark

                Author and article information

                Contributors
                Conference
                April 2004
                April 2004
                : 1-12
                Affiliations
                [1 ]Department of Physical Sciences, University Federico II of Napoli, via Cinthia 6, ITALY
                [2 ]Department of Mathematics and Informatics, University of Salerno, Fisciano - ITALY
                [3 ]Department of Mathematics and Applications, University Federico II of Napoli, via Cinthia 6, ITALY
                [4 ]INFN - Italian Institure of Nuclear Physics Unit of Naples, via Cinthia 6, Italy
                [5 ]INAF - Italian Institute for Astrophysics, via Moiariello 16, Napoli, ITALY
                Article
                10.14236/ewic/ADA-III2004.20
                © Roberto Amato et al. Published by BCS Learning and Development Ltd. ADA-III - Astronomical Data Analysis III Conference, Sant' Agata sui due Golfi, Italy

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                ADA-III - Astronomical Data Analysis III Conference
                ADA
                3
                Sant' Agata sui due Golfi, Italy
                29 April - 1 May 2004
                Electronic Workshops in Computing (eWiC)
                Astronomical Data Analysis
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

                Comments

                Comment on this article