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    ARTICLE

    Safest Route Detection via Danger Index Calculation and K-Means Clustering

    Isha Puthige1, Kartikay Bansal1, Chahat Bindra1, Mahekk Kapur1, Dilbag Singh1, Vipul Kumar Mishra1, Apeksha Aggarwal1, Jinhee Lee2, Byeong-Gwon Kang2, Yunyoung Nam2,*, Reham R. Mostafa3

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2761-2777, 2021, DOI:10.32604/cmc.2021.018128 - 21 July 2021

    Abstract The study aims to formulate a solution for identifying the safest route between any two inputted Geographical locations. Using the New York City dataset, which provides us with location tagged crime statistics; we are implementing different clustering algorithms and analysed the results comparatively to discover the best-suited one. The results unveil the fact that the K-Means algorithm best suits for our needs and delivered the best results. Moreover, a comparative analysis has been performed among various clustering techniques to obtain best results. we compared all the achieved results and using the conclusions we have developed More >

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