Clustering is a fundamental machine learning task, which aim at assigning instances into
groups so that similar samples belong to the same cluster while dissimilar samples belong …

Protein representation learning is a challenging task that aims to capture the structure and
function of proteins from their amino acid sequences. Previous methods largely ignored the …

Clustering provides a prime important role as an unsupervised learning method in data
analytics to assist many real-world problems such as image segmentation, object …

In the article authors investigated the conceptual framework for creating an industrial smart
and tourism favoured cluster for the sustainable development of the Ukranian region. The …

The paper sheds light on the use of a self-learning GNG neural network for identification and
exploration of the purchasing behaviour patterns. The test has been conducted on the data …

Authors developed an intelligent method of forming a consumer basket based on data from
supermarket chains, which allows modifying the set of goods in the consumer basket and …

Pentingnya kehadiran perguruan tinggi memungkinkan pihak swasta untuk turut
menyelenggarakan kegiatan akademik dalam bentuk lembaga pendidikan tinggi. Hal ini …

ABSTRACT US wine sales approached $60 billion in 2016, of which, an estimated $39.8
billion was generated from domestic wine sales and the remainder from imports. On …

Authors developed an intelligent method of forming a consumer basket based on data from
supermarket chains, which allows modifying the set of goods in the consumer basket and …

Методи досліджень: у роботі використані методи математичного програмування,
системного аналізу, машинного навчання. Результати дослідження: розроблено метод …