@inproceedings{737c270c5979416389ebe9afbd008f2a,

title = "Application of agglomerative clustering for analyzing phylogenetically on bacterium of saliva",

abstract = "Analyzing population of Streptococcus bacteria is important since these species can cause dental caries, periodontal, halitosis (bad breath) and more problems. This paper will discuss the phylogenetically relation between the bacterium Streptococcus in saliva using a phylogenetic tree of agglomerative clustering methods. Starting with the bacterium Streptococcus DNA sequence obtained from the GenBank, then performed characteristic extraction of DNA sequences. The characteristic extraction result is matrix form, then performed normalization using min-max normalization and calculate genetic distance using Manhattan distance. Agglomerative clustering technique consisting of single linkage, complete linkage and average linkage. In this agglomerative algorithm number of group is started with the number of individual species. The most similar species is grouped until the similarity decreases and then formed a single group. Results of grouping is a phylogenetic tree and branches that join an established level of distance, that the smaller the distance the more the similarity of the larger species implementation is using R, an open source program.",

keywords = "agglomerative clustering, characteristic extraction, phylogenetic tree",

author = "Alhadi B. and I. Fitria and K. Umam",

year = "2017",

month = jul,

day = "10",

doi = "10.1063/1.4991230",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Sugeng, {Kiki Ariyanti} and Djoko Triyono and Terry Mart",

booktitle = "International Symposium on Current Progress in Mathematics and Sciences 2016, ISCPMS 2016",

note = "2nd International Symposium on Current Progress in Mathematics and Sciences 2016, ISCPMS 2016 ; Conference date: 01-11-2016 Through 02-11-2016",

}