Analysis of Regional Development Disparity with Clustering Technique Based Perspective
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Abstract
The disparity in development is a situation where there is a difference between the achievements of development within the region, with a view of a particular indicator. Many of the techniques are can be used for the determination of the disparity. This paper discusses the determination of regional development disparities seen from the point of view of data mining using the cluster approach to the data. This paper put forward the discussion of literature on several research studies conducted by scientists associated with the determination of disparity development using cluster technique. Case studies related to the grouping level of development in order to see the disparity in regional development are also discussed in this paper for a complete description of the study of literature is done. K-means clustering method is used with the help of MATLAB applications to analyze the data of gross regional domestic product (GDP) of the province of Central Java. The analysis showed the K-means cluster has an accuracy rate of 80% on the level of development of the region grouping. Of the fifteen districts are analyzed, only three counties that do not fit the classification results when compared to the results of the cluster with Klassen typology.
Keywords: Disparity in development, clustering technique, k-means, MATLAB, GDP, Klassen typology
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