Road accidents have become a global issue concern. Accidents may occur in different places with different incidents that can make it difficult to determine which areas are prone to accidents. This information is needed by the community and the respective authority for law enforcement. This study utilized spatio-temporal clustering to analyze the high-risk area of road accidents in the state of Kelantan, Malaysia. It aimed to identify the hotspot area of accident location in Kelantan using spatio-temporal analysis and cluster the road accident locations according to the geographical area in Kelantan using cluster analysis. Analysis of spatio-temporal is utilized to identify the hotspot areas of high-risk road accidents by mapping spatio-temporal heterogeneity road accidents' cases of ten districts in Kelantan by day. The results indicated that the area of Kota Bharu was identified as the hotspot of road accident location in Kelantan. By using K-means clustering, four different clusters were formed. The first cluster was Kota Bharu which represented a very high-risk accident area. The second cluster of high-risk accident areas were Gua Musang, Pasir Mas and Tanah Merah, while the third cluster which was a moderate-risk accident areas consisted of Machang, Kuala Krai, Tumpat, Pasir Puteh and Bachok. Lastly, the fourth cluster of low-risk accident area was Jeli. The findings from this study can be used by the authorities in preventing and reducing the statistics of road accident cases in Kelantan and can be further utilized by the other states in Malaysia.