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EM cluster analysis for categorical data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F06%3A00040989" target="_blank" >RIV/67985556:_____/06:00040989 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    EM cluster analysis for categorical data

  • Original language description

    Distribution mixtures with product components have been applied repeatedly to determine clusters in multivariate data. Unfortunately for categorical variables the mixture parameters are not uniquely identifiable and therefore the result of cluster analysis may become questionable. We prove that any non-degenerate discrete product mixture can be equivalently described by infinitely many diferent parameter sets. A unique result of cluster analysis can be guaranteed by additional constrains.

  • Czech name

    EM shlukování kategorických dat.

  • Czech description

    Nevýhodou shlukování diskrétních mnohorozměrných dat na základě odhadu součinové distribuční směsi je nejednoznačná identifikace parametrů směsi. V práci je popsán jednoduchý důkaz neidentifikovatelnosti diskrétní distribuční směsi a je navržena modifikace EM algoritmu, která zaručuje jednoznačný výsledek odhadu směsi.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2006

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Lecture Notes in Computer Science

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    44

  • Issue of the periodical within the volume

    4109

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    9

  • Pages from-to

    640-648

  • UT code for WoS article

  • EID of the result in the Scopus database