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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Musdholifah, A. Hashim, S.Z.M. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science and Electronic, Gadjah Mada University (UGM), Yogyakarta, Indonesia (Musdholifah, A.) || Faculty of Computer Science and Information System, Universiti Teknologi Malaysia (UTM), Skudai, Malaysia (Hashim, S.Z.M.) |
| Abstract | To date, various fields of applications have utilized spatio-temporal databases not only to store data, but to support decision making. For example, in traffic accident analysis; it is required to have knowledge on the pattern of accidents resulting in death. Thus, in such analysis, clustering technique is desired to implement pattern extraction. This paper presents clustering of spatio-temporal database using kernel nearest neighbor approach. It is chosen due to its ability to determine the number of clusters automatically. There are various types of kernel functions exist in the literatures, but the issue of concern is how to determine an appropriate kernel function for this application. In this study, two commonly used kernel functions, namely Gaussian and triangular, are investigated. From various experiments conducted, both functions produce reasonable clusters, but the triangular kernel nearest neighbor based clustering (TKNN) provides better performance with smaller number of iteration compared to Gaussian kernel nearest neighbor based clustering (ILGC) and K-means. Thus, TKNN is good option in clustering spatio-temporal database. |
| Starting Page | 67 |
| Ending Page | 73 |
| File Size | 357073 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424481347 |
| e-ISBN | 9781424481361 |
| DOI | 10.1109/ISDA.2010.5687288 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-29 |
| Publisher Place | Egypt |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis triangular kernel function spatio-temporal database Clustering algorithms Vehicle crash testing clustering kernel nearest neighbor Indexes Gaussian kernel function Kernel Nearest neighbor searches |
| Content Type | Text |
| Resource Type | Article |
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