Pemodelan Biplot pada Klasifikasi Data Metagenom dengan Kmers sebagai Ekstraksi Ciri dan LVQ sebagai Classifier

Abstract

The reading of the genome one organism that it had become is used for the majority of the scientists, now the scientists turn to recitation metagenom , that is the reading of a sample of the genome taken some of the neighborhood. But in reading the fragment metagenom can happen the mixture of fragments of organisms A with B organism caused the same set of overlap between the two. This can be corrected with an binning process, with the purpose to classify fragments into different taxonomy levels. This can be corrected with an binning process, with the purpose to classify fragments into different taxonomic levels. Accuracy results obtained using methods lvq ranges 78.10 % to 90.90 %.Accuracy is 90.90 %, most high namely on trial with those organisms that have long been known and not use 10000 fragments bp biplot.Accuracy results obtained without using biplot larger than the value of accuracy that uses biplot because biplot done reduction finite-dimensional ± 80 % of features.