Publication

Prototype-based analysis of GAMA galaxy catalogue data

Nolte, A., Wang, L. & Biehl, M., 24-Apr-2018, ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). Louvain-La-Neuve: Ciaco - i6doc.com, Vol. 26. p. 339-344 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

We present a prototype-based machine learning analysis of labeled galaxy catalogue data containing parameters from the Galaxy and Mass Assembly (GAMA) survey. Using both an unsupervised and supervised method, the Self-Organizing Map and Generalized Relevance Matrix Learning Vec- tor Quantization, we find that the data does not fully support the popular visual-inspection-based galaxy classification scheme employed to categorize the galaxies. In particular, only one class, the Little Blue Spheroids, is consistently separable from the other classes. In a proof-of-concept experiment, we present the galaxy parameters that are most discriminative for this class.
Original languageEnglish
Title of host publicationESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
EditorsMichel Verleysen
Place of PublicationLouvain-La-Neuve
PublisherCiaco - i6doc.com
Pages339-344
Number of pages6
Volume26
ISBN (Electronic)978-287-587-048-3
ISBN (Print)978-287-587-047-6
Publication statusPublished - 24-Apr-2018
EventSpecial Session at ESANN 2018: Machine Learning and Data Analysis in Astroinformatics - Brugge, Belgium
Duration: 25-Apr-201827-Apr-2018
https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#astroinformatics

Conference

ConferenceSpecial Session at ESANN 2018
CountryBelgium
CityBrugge
Period25/04/201827/04/2018
Internet address

Event

Special Session at ESANN 2018: Machine Learning and Data Analysis in Astroinformatics

25/04/201827/04/2018

Brugge, Belgium

Event: Conference

Related Activities
  1. European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning

    Michael Biehl (Contributor), Aleke Nolte (Contributor), Kerstin Bunte (Contributor), Mohammad Mohammadi (Contributor)
    25-Apr-201827-Apr-2018

    Activity: Participating in or organising an eventParticipation in conferenceAcademic

View all (1) »

View graph of relations

Download statistics

No data available

ID: 58483663