PENGELOMPOKAN DESA/KELURAHAN DI KOTA DENPASAR MENURUT INDIKATOR PENDIDIKAN

  • NI WAYAN ARIS APRILIA A.P Faculty of Mathematics and Natural Sciences, Udayana University
  • I GUSTI AYU MADE SRINADI Faculty of Mathematics and Natural Sciences, Udayana University
  • KARTIKA SARI Faculty of Mathematics and Natural Sciences, Udayana University
##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.24843/MTK.2016.v05.i02.p119

Abstrak

Cluster analysis is one of data analysis used to classify objects in clusters which has objects with the same characteristics, whereas the other cluster has different characteristics. One part of the method of analysis cluster is hierarchy method. In a hierarchical method there are methods of linkage in the form of incorporation. Generally, methods of linkage is divided into 5 methods: single linkage, complete linkage, average linkage, Ward and centroid.  The purpose of this study was to determine the best method of linkage among the method of single linkage, complete linkage, average linkage, and Ward, using Euclidean and Pearson proximity distance. Base on the smallest value of CTM (Cluster Tightness Measure), the best method of linkage as a result of this research was average linkage in Pearson distance.

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Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
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Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
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Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
Diterbitkan
2016-05-31
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APRILIA A.P, NI WAYAN ARIS; SRINADI, I GUSTI AYU MADE; SARI, KARTIKA. PENGELOMPOKAN DESA/KELURAHAN DI KOTA DENPASAR MENURUT INDIKATOR PENDIDIKAN. E-Jurnal Matematika, [S.l.], v. 5, n. 2, p. 38 - 43, may 2016. ISSN 2303-1751. Tersedia pada: <http://103.29.196.112/index.php/mtk/article/view/21296>. Tanggal Akses: 05 mar. 2026 doi: https://doi.org/10.24843/MTK.2016.v05.i02.p119.
Bagian
Articles

Kata Kunci

Euclidean distance; Pearson distance; Linkage methods; CTM

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