Approach to text data clustering based on molecular chemical reactions in agricultural and food industries : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2022

Идентификатор DOI: 10.1088/1755-1315/1112/1/012056

Аннотация: <jats:title>Abstract</jats:title> <jats:p>We propose an algorithm for clustering short text fragments such as lists of ingredients in food products using the k-means algorithm in combination with the molecular chemical reactions algorithm. The solution obtained with k-means is used as an initial molecular structure solution to optiПоказать полностьюmize chemical reactions in combination with k-means by generating new solutions using the four main types of chemical reactions. The computational experiment showed the comparative efficiency of new algorithm, taking into account numerical metrics: accuracy, precision, recall, and F-measure.</jats:p>

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Издание

Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: Т.1112, 1

Номера страниц: 012056

ISSN журнала: 17551307

Издатель: IOP Publishing

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