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

Autor:	M Gao, Zh Ma, N L Rezova, G Sh Shkaberina, L A Kazakovtsev
Rok vydání:	2022
Předmět:	General Medicine General Chemistry
Zdroj:	IOP Conference Series: Earth and Environmental Science. 1112:012056
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/1112/1/012056
Popis:	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 optimize 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6b974aec3026c1ef9a17917d9107e8fa https://doi.org/10.1088/1755-1315/1112/1/012056 Zobrazit plný text záznamu