Abstract
AbstractThis paper describes an approach for visualization of patterns in large data sets. The data sets are combined from external exposure and internal stress factors on human health. For deduction of modes of action on human health, external and internal stress factors have to be combined and classified. The approach shown in this paper is based upon clustering algorithms. Relationships between cases ban be obtained by visual inspection of clustering results.KeywordsCluster AlgorithmVolatile Organic CompoundColor CodeExternal ExposureDimensional ViewThese 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.