PENGELOMPOKAN DESA/KELURAHAN DI KOTA DENPASAR MENURUT INDIKATOR PENDIDIKAN
ABSTRACT: 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.
Penulis: Ni Wayan Aris Aprilia
A.P
Kode Jurnal: jpmatematikadd160184