Factors Affecting Crime Against Women Using Regression and K-Means Clustering Techniques

  • Bhajneet KaurEmail author
  • Laxmi Ahuja
  • Vinay Kumar
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 11)


The basic meaning of crime against women is direct or indirect mental or physical torture or cruelty towards women. Crime against women is increasing every year and as per the research they have doubled over the past ten years, according to latest data released by the NCRB (National Crime Records Bureau). As many as 2.24 million approx. crimes were reported against women over the past decade. On an average 25 crime per hour against women are reported, at least a complaint every two minutes. To control crime, the eyes have to be set on the factors which are influencing the crime against women. For this consideration there are various factors affecting the crime against women. In this paper factors are identified for crime against women. The impact of the individual factor has been checked for the overall crime rate in Delhi on the basis of regression analysis using SPSS tool and thereafter K-means clustering technique has been applied to classify the respondents or cases into clusters on the basis of degree of crime rate for various factors influencing the crime against women.


Crime against women Regression analysis K-means clustering SPSS 


  1. 1.
    Parihar, A.: Crime Against Women in Haryana: an Analysis, vol. 4, Issue 11, pp. 16–24, Nov 2015,
  2. 2.
    National crime record bureau report: Chapter-5 Crime against Women, (2014)
  3. 3.
    Khandelwal, S.K.: Crime Against Women: Causes And Compulsions, A Socio-legal Study of Crimes Against Women: A Critical Review of Protective Law, chapter-2, (2015)
  4. 4.
    UN Women: Ending violence against Women and Girls: Progamming essentials, June 2013, (2013)
  5. 5.
    Golding, J.M.: Intimate partner violence as a risk factor for mental disorders: a meta-analysis. J. Fam. violence 14(2), 99–132, (1999)Google Scholar
  6. 6.
    Morrison, A., et al.: Addressing Gender Based Violence- A Critical Review of Interventions, vol. 22, pp. 25–51. World Bank Research Observer, Washington, DCGoogle Scholar
  7. 7.
    Malamuth, N.M., Check, J.V.P.: The effects of mass media exposure on acceptance of violence against women: a field experiment. J. Res. Pers. 15(4), 436–446 (1981)CrossRefGoogle Scholar
  8. 8.
    Pham, D.T., Stefan, S.D., Nguyen, C.D.: Selection of K in K-means clustering. Proc Inst. Mech. Eng. Part C: J. Mech. Eng. Sci. 219(1), 103–119 (2005)Google Scholar
  9. 9.
    The K-means Clustering Algorithm: Chapter-1, pp. 1–6,
  10. 10.
    Mohamad, I.B., Usman, D.: Standardization and its effects on K -Means clustering algorithm. Res. J. Appl. Sci. Eng. and Technol. 6(17), 3299–3303 (2013),
  11. 11.
    Chen, Z.: Exploring new trends of university libraries by SPSS cluster analysis method: Take Wuhan University of Technology as an example. In: 2011 6th International Conference on Product Innovation Management (ICPIM). IEEE (2011)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.AIITAmity UniversityNoidaIndia
  2. 2.Vivekananda Institute of Professional StudiesGGSIPUNew DelhiIndia

Personalised recommendations