Comparison KMART and FCM clustering Algorithms for Contextual Document Clustering and Categorization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25368061%3A_____%2F16%3AN0000022" target="_blank" >RIV/25368061:_____/16:N0000022 - isvavai.cz</a>
Result on the web
<a href="http://ciencia-e-tecnica.org/" target="_blank" >http://ciencia-e-tecnica.org/</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Comparison KMART and FCM clustering Algorithms for Contextual Document Clustering and Categorization
Original language description
Article covers the aggregation of contextually similar text documents. In normal practice, often encountered with documents which have more or less common to contain an information environment. Aggregation of such documents can sometimes be difficult because of the occurrence of the space common keywords it is difficult to set a decision threshold, when a new cluster will be formed. It can reduce the overall quality of the process. Article investigates the process behavior in the recruitment of such documents with one of the most useful aggregating fuzzy algorithms - Fuzzy C-Means.
Czech name
—
Czech description
—

Project
<a href="/en/project/TA04031376" target="_blank" >TA04031376: Research / development methodology training aviation specialists L410UVP E20</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)