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Survey of K means Clustering and Hierarchical Clustering for Road Accident Analysis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mahajan, Akanksha Madan, Er. Neena |
| Copyright Year | 2017 |
| Abstract | 1 Research Scholar, Department of Computer Engineering & Technology, Guru Nanak Dev University Regional Campus, Jalandhar, Punjab, India-143001 2 Assistant Professor, Department of Computer Engineering & Technology, Guru Nanak Dev University Regional Campus, Jalandhar, Punjab, India-143001 ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract-Clustering is popular technique of data mining for analyzing road accidents. This paper presents the clustering techniques to analysis the accident locations and the related data accident at these locations .Accidents locations are divided into three categories high frequency accident location, ,moderate frequency accident location, low frequency accident locations. K-means clustering and hierarchical technique is used on road accident data. After that comparisons are done on the basis of parameter metrics. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.irjet.net/archives/V4/i6/IRJET-V4I6699.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |