Ordinal Factor Analysis of Graded Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33150769" target="_blank" >RIV/61989592:15310/14:33150769 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-07248-7_10" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-07248-7_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07248-7_10" target="_blank" >10.1007/978-3-319-07248-7_10</a>

Result language
angličtina
Original language name
Ordinal Factor Analysis of Graded Data
Original language description
In the last few years, concept factor analysis has been an object of study in the FCA community. Its main idea is to use formal concepts as factors to explain the data in a more concise way. We study factorisation of graded tabular data by means of well-structured families of concepts which have an ordinal character. This method enables us to obtain a smaller number of items which explain the data while they still have a clear and comprehensible meaning. We illustrate the method and its applicability ona sports data set.
Czech name
—
Czech description
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Project
<a href="/en/project/EE2.3.20.0059" target="_blank" >EE2.3.20.0059: Reintegration of Czech Scientist and Creation of Top Level Team in Information Sciences</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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