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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.
  • 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. (en)
  • 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. (cs)
Title
  • EM cluster analysis for categorical data
  • EM cluster analysis for categorical data (en)
  • EM shlukování kategorických dat. (cs)
skos:prefLabel
  • EM cluster analysis for categorical data
  • EM cluster analysis for categorical data (en)
  • EM shlukování kategorických dat. (cs)
skos:notation
  • RIV/67985556:_____/06:00040989!RIV07-AV0-67985556
http://linked.open.../vavai/riv/strany
  • 640;648
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET400750407), P(1M0572), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika
  • 4109
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...dnocenehoVysledku
  • 473982
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/06:00040989
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • cluster analysis; categorical data; EM algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [A3D4D70FB52F]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 44
http://linked.open...iv/tvurceVysledku
  • Grim, Jiří
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
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