Motivation One of the main challenges in applying graph convolutional neural networks
(CNNs) on gene-interaction data is the lack of understanding of the vector space to which …

The grouping of clusters is an important task to perform for the initial stage of clinical
implication and diagnosis of a disease. The researchers performed evaluation work on …

The endless enhancement and decreasing charges of a complete human genome have
given rise to fast acceptance of genetic and genomic information at both research institutions …

In the field of unsupervised learning, Self-Organizing Map (SOM) has attracted the attention
of many researchers. SOM is a popular algorithm in the area of data clustering; in this paper …

Manipulating high-dimensional data is a major research challenge in the field of computer
science in recent years. To classify this data, a lot of clustering algorithms have already been …

Veri madenciliği, birçok teknik ve algoritmayı kullanarak büyük veri tabanlarından anlamlı
bilgileri çıkarma işlemidir. Veri madenciliği genellikle,“verilerde bilgi keşfi” olarak …

Computer network security is vital due to the large volume of data handled. One of the
security tools available to large companies is Intrusion Detection Systems (IDS). However …

Clustering plays an important role in the analysis of genetic datasets. In the gene dataset,
there is a lot amount of hidden information. Understanding functional genomics needs to be …

Аннотация В данной работе рассмотрен вопрос о том, как улучшить
самоорганизующуюся нейронную сеть, состоящую из связки алгоритма кластеризации …

Представлены результаты апробации диагностического комплекса контроля
кислородного статуса тканей человека с использованием мультисенсорной …