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



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.


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Series Title
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Call Number
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Publisher International Journal of Computing and Digital Systems : Bahrain.,
Collation
006
Language
English
ISBN/ISSN
2210-142X
Classification
NONE
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Media Type
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Edition
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Specific Detail Info
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Statement of Responsibility

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Scopus Q3

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