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Type
JOURNAL
Keywords
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Abstract
Every single strand of DNA consists of 10 sequences of nucleotides. These sequences cannot be separated or randomly arranged because each sequence of DNA contains a certain genomic encoding. When a virus mutates, a drug or vaccine for that virus that has been given to a patient will become useless. Therefore, there is a need for a method of analysing the likely direction of DNA mutation so that preventative measures can be adapted more quickly. RNA-type viruses are able to alter the patterns of infected DNA, which is one way for such a virus to defend itself. In this paper, we propose a new hybrid clustering method that combines K-means, fuzzy C-means, and hierarchical clustering to predict the direction of DNA mutation trends. We have combined these three different approaches in a hybrid clustering method and tested it on two data sets of 1000 isolated positive hepatitis C virus (HCV)-infected and non …