Analysis of Patient Groups and Immunization Results Based on Subspace Clustering

Michael Hund*, W Sturm, T Schreck, T Ullrich, Daniel Keim, Ljiljana Majnaric, A Holzinger

*Corresponding author for this work

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


Biomedical experts are increasingly confronted with what is often called Big Data, an important subclass of high-dimensional data. High-dimensional data analysis can be helpful in finding relationships between records and dimensions. However, due to data complexity, experts are decreasingly capable of dealing with increasingly complex data. Mapping higher dimensional data to a smaller number of relevant dimensions is a big challenge due to the curse of dimensionality. Irrelevant, redundant, and conflicting dimensions affect the effectiveness and efficiency of analysis. Furthermore, the possible mappings from high- to low-dimensional spaces are ambiguous. For example, the similarity between patients may change by considering different combinations of relevant dimensions (subspaces). We show the potential of subspace analysis for the interpretation of high-dimensional medical data. Specifically, we analyze relationships between patients, sets of patient attributes, and outcomes of a vaccination treatment by means of a subspace clustering approach. We present an analysis workflow and discuss future directions for high-dimensional (medical) data analysis and visual exploration.
Original languageEnglish
Title of host publicationBrain Informatics And Health (bih 2015)
Subtitle of host publication8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings
EditorsY Guo, K Friston, A Faisal, S Hill, H Peng
Place of PublicationBerlin
Number of pages11
ISBN (Print)978-3-319-23343-7
Publication statusPublished - 2015
Event8th International Conference on Brain Informatics & Health - London, United Kingdom
Duration: 30 Aug 20152 Sept 2015

Publication series

NameLecture Notes in Computer Science


Conference8th International Conference on Brain Informatics & Health
Abbreviated titleBIH 2015
Country/TerritoryUnited Kingdom

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application


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