Unsupervised Neural Network-Naive Bayes Model for Grouping Data Regional Development Results

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Determination quadrant development has an important role in order to determine the achievement of the development of a district, in terms of the sector's Gross regional Domestic Product (GDP). The process of determining the quadrant development typically uses Klassen rules based on its sector GDP. This paper aims to provide a new approach in the conduct of regional development quadrant clustering using cluster techniques. Clustering is performed based on the average value of the growth and development of a district contribution compared with the average value and contribution of the development of the province based on data in comparison with a year of data to be compared.
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