Mixture Model Clustering for Household Incomes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F10%3A00048496" target="_blank" >RIV/00216224:14310/10:00048496 - isvavai.cz</a>

Alternative codes found

RIV/61384399:31160/10:00036422

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Mixture Model Clustering for Household Incomes

Original language description

Finite mixture models are often used to study data from a population that is suspected to be composed of a number of homogeneous subpopulations. Mixture-model-based clustering has become a popular approach for its statistical properties and the implementation simplicity of the EM algorithm. Therefore, we focused on the partitions of household income into homogeneous subpopulations using the mclust library of R.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/GA402%2F09%2F0515" target="_blank" >GA402/09/0515: Analysis and Modelling of Financial Power of Czech and Slovak Households</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2010

Confidentiality

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

Name of the periodical

Aplimat - Journal of Applied Mathematics

ISSN

1337-6365

e-ISSN

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Volume of the periodical

3 (2010)

Issue of the periodical within the volume

3

Country of publishing house

SK - SLOVAKIA

Number of pages

10

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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