University of Bahrain
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Identification of Location for Police Headquarters to Deal with Crime Against Women in India Using Clustering Based on K-Means Algorithm

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dc.contributor.author Indu, Richa
dc.contributor.author Dimri, Sushil Chandra
dc.contributor.author Kumar, Bhawnesh
dc.date.accessioned 2023-08-20T06:29:35Z
dc.date.available 2023-08-20T06:29:35Z
dc.date.issued 2023-09-01
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/5208
dc.description.abstract During 2020-21, the rate of crime against women has considerably increased, especially the cases of domestic violence, kidnapping, and rape. Considering the fact that a woman better understands the problem of another woman, and to ensure women’s safety in this era of technology, we proposed opening Police Headquarters with lady staff only. For this, we suggest the use of the latitude, longitude, and average weighted crime as clustering parameters for the K-means method to recognize the most probable location at which such headquarters can be opened. The parameter average weighted crime signifies the magnitude or intensity of nine different possible crimes against women and thus identifies the location where the maximum number of crimes against women are reported. Therefore, such locations are ideal for setting up the Lady Police Headquarters to further curtail any such crimes, and deliver swift protection as well as justice to the victim women. It is somehow similar to identifying clusters (locality) from clusters (blocks). Thence, using the suggested approach, the Indian law enforcing agencies including police can prevent and control crimes at the micro level and can also increase their reach en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject K Means Clustering en_US
dc.subject Police Headquarters en_US
dc.subject Crime against Women en_US
dc.title Identification of Location for Police Headquarters to Deal with Crime Against Women in India Using Clustering Based on K-Means Algorithm en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcds/140175
dc.volume 14 en_US
dc.issue 1 en_US
dc.pagestart 1 en_US
dc.pageend xx en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Graphic Era Deemed to be University en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


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