Application of single-linkage clustering method in the analysis of growth rate of gross domestic product (GDP) At 1990 Constant Basic Prices (Million Naira)

Abstract

Single-linkage is one of the methods in cluster analysis, which is used, for determining natural groupings in multi-variate data. Given a data set with one or more characteristics, singlelinkage system classifies the data into clusters so that they are as similar as possible within each cluster and as different as possible between clusters. The objective is to show the closeness or similarity in the growth rate of GDP. Using the MINITAB software the similarity of the growth rate of GDP and the similarity in the years of production were shown.

Radiological assessment in beach sediment of coastline, Ghana

“…The single linkage cluster assumes that the similarity of two clusters is the similarity of their most similar members. This means, single linkage cluster categorizes data into clusters so that they are similar as possible within each cluster and as dissimilar as possible between clusters [ 38 , 42 ]. Fig.…”

Performance of K-Means and DBSCAN Algorithm in Clustering Gross Regional Domestic Product

“…Research related to clustering analysis on GDP or GRDP calculation factors has been carried out widely. Onwukwe and Ezeorah (2009) used Single Linkage to classify the GDP growth rate in Nigeria using GDP data for 1994-2003. Oktaviana and Amalia (2018 used GRDP data from Bangka Belitung Province for 2010-2017 to predict GRDP for the next year using Trend Analysis.…”