PENGARUH PERHITUNGAN RENTANG DATA TERHADAP PERFORMANSI ALGORITMA CLUSTERING SELF ORGANIZING MAP

SARI, TRI KURNIA and Rini, Dian Palupi and Yusliani, Novi (2018) PENGARUH PERHITUNGAN RENTANG DATA TERHADAP PERFORMANSI ALGORITMA CLUSTERING SELF ORGANIZING MAP. Undergraduate thesis, Sriwijaya University.

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Abstract

Clustering is a valuable research field in data mining. Clustering groups data based on its proximity or similarity. An important component in clustering is the distance measurement between data points. The difference in distance measurement method of data will affect how close the distance between the data. Therefore, this research will examine the effect of distance measurement of data on the performance of clustering algorithm. This study uses Self Organizing Map algorithm. There are three distance measurement method are Euclidean distance, Manhattan distance, and Chebyshev distance. This research uses 4 data set are Iris, Wine, Car Evaluation, and Abalone. The cluster will be evaluated using Davies Bouldin Index. Self Organizing Map and Chebyshev distance produce better cluster than Euclidean distance and Manhattan distance. However, the computation time is longer than Euclidean distance and Manhattan distance.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Clustering, Euclidean distance, Manhattan distance, Chebyshev distance, Self Organizing Map, Davies Bouldin Index
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	02 Oct 2019 02:05
Last Modified:	02 Oct 2019 02:05
URI:	http://repository.unsri.ac.id/id/eprint/9955

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