2012 ©
             Publication
Journal Publication
Research Title Detecting cluster numbers based on density changes using density-index enhanced Scale-invariant density-based clustering initialization algorithm 
Date of Distribution 4 September 2017 
Conference
     Title of the Conference The 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017 
     Organiser Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand 
     Conference Place Centara Grand Beach Resort Phuket 
     Province/State ภูเก็ต 
     Conference Date 12 October 2017 
     To 13 October 2017 
Proceeding Paper
     Volume
     Issue
     Page 288-292 
     Editors/edition/publisher  
     Abstract Despite high accuracy, K-means relies mainly on the determination of the suitable number of clusters. To cope with, it is hypothesized that in a dataset region with high density tends to be a cluster. The present study is based on Scale-invariant density-based clustering initialization, in which a cluster numbers is derived from density change analysis or density distribution analysis. However, the density calculation under this approach is based on the number and volume of data, which may result in inaccuracy for cluster detection. Thus, the objective of this study was to improve the performance of Scale-invariant density-based clustering initialization to detect the appropriate cluster numbers and initial cluster centers. We proposed a density calculation based on data distance. The density value obtained from the calculation was used as a condition of data division and data merging for cluster detection. According to the experiment, compared to the Scale invariant density-based clustering initialization, the proposed method could detect the cluster numbers and initial cluster centers more equal or closer to the actual number of clusters. In addition, the level of accuracy in clustering was higher than its counterpart. 
Author
557020076-5 Miss ONAPA LIMWATTANAPIBOOL [Main Author]
Science Doctoral Degree

Peer Review Status ไม่มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis false 
Presentation awarding false 
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