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Journal Publication
Title of Article Determination of the appropriate parameters for K-means clustering using Selection of Region Clusters based on Density DBSCAN (SRCD-DBSCAN) 
Date of Acceptance 13 January 2017 
Journal
     Title of Journal Expert Systems 
     Standard ISI 
     Institute of Journal John Wiley & Sons, Inc. 
     ISBN/ISSN 1468-0394 
     Volume  
     Issue 34 
     Month June
     Year of Publication 2017 
     Page  
     Abstract K-means clustering can be highly accurate when the number of clusters and the initial cluster centre are appropriate. An inappropriate determination of the number of clusters or the initial cluster centre decreases the accuracy of K-means clustering. However, determining these values is problematic. To solve these problems, this study used Density Based Spatial Clustering of Application with Noise(DBSCAN) because it does not require a predetermined number of clusters; however, it has some significant drawbacks. Using DBSCAN with high-dimensional data and data with potentially different densities decreases the accuracy to some degree. Therefore, the objective of this research is to improve the efficiency of DBSCAN through a Selection of Region Clusters based on density DBSCAN (SRCD-DBSCAN) to automatically find the appropriate number of clusters and initial cluster centres for K-means clustering. In the proposed method, DBSCAN is used to perform clustering and to select the appropriate clusters by considering the density of each cluster. Subsequently, the appropriate region data are chosen from the selected clusters. The experimental results yield the appropriate number of clusters and the appropriate initial cluster centres for K-means clustering. In addition, the results of the SRCD-DBSCAN method are more accurate than those obtained by traditional methods, including DBSCAN and K-means and related methods such as PDBSCAN and PACA-DBSCAN. 
     Keyword Clustering, Density-based Clustering, DBSCAN, K-means, Number of clusters, Initial Cluster Centres 
Author
557020076-5 Miss ONAPA LIMWATTANAPIBOOL [Main Author]
Science Doctoral Degree

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