DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm

Lailil Muflikhah; Wayan Firdaus Mahmudy

doi:10.1109/ICETAS48360.2019.9117565

DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Hepatitis B virus infection is one of the causes of hepatocellular carcinoma. It is a kind of DNA virus and has highly various genetic. In bioinformatics research, molecular evolution analysis is implemented to extract information from DNA sequence to nucleotide composition. The large volume of DNA sequence and costly complicates calculating of non-numerical nature of data, it is essential in the clustering task for describing data. Therefore, we propose the clustering method for the sequence using the Hierarchical k-Means clustering algorithm. The method is addressed to improve k-Means by defining an initial cluster center through the mean result of the hierarchical clustering method. The experiment result showed that the proposed method obtained higher performance measures than the conventional k-Means cluster algorithm.

Original language	English
Title of host publication	ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728140827
DOIs	https://doi.org/10.1109/ICETAS48360.2019.9117565
Publication status	Published - Dec 2019
Event	6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019 - Kuala Lumpur, Malaysia Duration: 20 Dec 2019 → 21 Dec 2019

Publication series

Name	ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences

Conference

Conference	6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019
Country/Territory	Malaysia
City	Kuala Lumpur
Period	20/12/19 → 21/12/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

clustering Hierarchical k-Means
DNA sequence
hepatitis B virus

Access to Document

10.1109/ICETAS48360.2019.9117565

Cite this

Muflikhah, L., Widodo , Mahmudy, W. F., & Solimun (2019). DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm. In ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences Article 9117565 (ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICETAS48360.2019.9117565

Muflikhah, Lailil ; Widodo, ; Mahmudy, Wayan Firdaus et al. / DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm. ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences. Institute of Electrical and Electronics Engineers Inc., 2019. (ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences).

@inproceedings{34d75fbb60f0475ab9c17cb4af8dff9b,

title = "DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm",

abstract = "Hepatitis B virus infection is one of the causes of hepatocellular carcinoma. It is a kind of DNA virus and has highly various genetic. In bioinformatics research, molecular evolution analysis is implemented to extract information from DNA sequence to nucleotide composition. The large volume of DNA sequence and costly complicates calculating of non-numerical nature of data, it is essential in the clustering task for describing data. Therefore, we propose the clustering method for the sequence using the Hierarchical k-Means clustering algorithm. The method is addressed to improve k-Means by defining an initial cluster center through the mean result of the hierarchical clustering method. The experiment result showed that the proposed method obtained higher performance measures than the conventional k-Means cluster algorithm.",

keywords = "clustering Hierarchical k-Means, DNA sequence, hepatitis B virus",

author = "Lailil Muflikhah and Widodo and Mahmudy, \{Wayan Firdaus\} and Solimun",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019 ; Conference date: 20-12-2019 Through 21-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICETAS48360.2019.9117565",

language = "English",

series = "ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences",

}

Muflikhah, L , Widodo, , Mahmudy, WF & Solimun 2019, DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm. in ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences., 9117565, ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences, Institute of Electrical and Electronics Engineers Inc., 6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019, Kuala Lumpur, Malaysia, 20/12/19. https://doi.org/10.1109/ICETAS48360.2019.9117565

DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm. / Muflikhah, Lailil ; Widodo, ; Mahmudy, Wayan Firdaus et al.
ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences. Institute of Electrical and Electronics Engineers Inc., 2019. 9117565 (ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm

AU - Muflikhah, Lailil

AU - Widodo,

AU - Mahmudy, Wayan Firdaus

AU - Solimun,

PY - 2019/12

Y1 - 2019/12

N2 - Hepatitis B virus infection is one of the causes of hepatocellular carcinoma. It is a kind of DNA virus and has highly various genetic. In bioinformatics research, molecular evolution analysis is implemented to extract information from DNA sequence to nucleotide composition. The large volume of DNA sequence and costly complicates calculating of non-numerical nature of data, it is essential in the clustering task for describing data. Therefore, we propose the clustering method for the sequence using the Hierarchical k-Means clustering algorithm. The method is addressed to improve k-Means by defining an initial cluster center through the mean result of the hierarchical clustering method. The experiment result showed that the proposed method obtained higher performance measures than the conventional k-Means cluster algorithm.

AB - Hepatitis B virus infection is one of the causes of hepatocellular carcinoma. It is a kind of DNA virus and has highly various genetic. In bioinformatics research, molecular evolution analysis is implemented to extract information from DNA sequence to nucleotide composition. The large volume of DNA sequence and costly complicates calculating of non-numerical nature of data, it is essential in the clustering task for describing data. Therefore, we propose the clustering method for the sequence using the Hierarchical k-Means clustering algorithm. The method is addressed to improve k-Means by defining an initial cluster center through the mean result of the hierarchical clustering method. The experiment result showed that the proposed method obtained higher performance measures than the conventional k-Means cluster algorithm.

KW - clustering Hierarchical k-Means

KW - DNA sequence

KW - hepatitis B virus

UR - https://www.scopus.com/pages/publications/85090243666

U2 - 10.1109/ICETAS48360.2019.9117565

DO - 10.1109/ICETAS48360.2019.9117565

M3 - Conference contribution

AN - SCOPUS:85090243666

T3 - ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences

BT - ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019

Y2 - 20 December 2019 through 21 December 2019

ER -

Muflikhah L , Widodo , Mahmudy WF , Solimun. DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm. In ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences. Institute of Electrical and Electronics Engineers Inc. 2019. 9117565. (ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences). doi: 10.1109/ICETAS48360.2019.9117565

DNA Sequence of Hepatitis B Virus Clustering Using Hierarchical k-Means Algorithm

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Keywords

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