Discrimination: Assigning Symbolic Objects to Classes

Jean-Paul Rasson, Sandrine Lissoir

    Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution


    Kernel density estimation is a tool which allows the statistician to construct a density on any sample of data. Recent references on density estimation with a probabilistic background are numerous (e.g., books by Hand 1982, Silverman 1986, Devroye 1985). These methods compute a weighted sum of kernels centered on each data point.
    Original languageEnglish
    Title of host publicationAnalysis of Symbolic Data
    Subtitle of host publicationExploratory Methods for Extracting Statistical Information from Complex Data
    EditorsHans-Hermann Bock, Edwin Diday
    Place of PublicationBerlin
    Number of pages11
    ISBN (Electronic)978-3-642-57155-8
    ISBN (Print)978-3-540-66619-6
    Publication statusPublished - 2000

    Publication series

    NameStudies in Classification, Data Analysis, and Knowledge Organization
    ISSN (Print)1431-8814
    ISSN (Electronic)2198-3321


    Dive into the research topics of 'Discrimination: Assigning Symbolic Objects to Classes'. Together they form a unique fingerprint.

    Cite this