Y.  Bello, S.A.  Yelwa, S.U.  Gulumbe, 
    Simultaneous Application of Agglomerative Algorithms on Interval Measures for Better Classification of Crime Data Across the States in Nigeria,
    Research Journal of Applied Sciences,
    Volume 7,Issue 1,
    2012,
    Pages 41-47,
    ISSN 1815-932x,
    rjasci.2012.41.47,
    (https://makhillpublications.co/view-article.php?doi=rjasci.2012.41.47)
    Abstract: Agglomerative algorithms have been used in crime analysis to classify criminal activities and to
classify areas into higher and lower criminal activities. The researches were mostly applying the algorithms on
one particular distance measure. This study identifies the usefulness of applying different algorithms on
different interval measures simultaneously for better classifications of crime data across the 36 states in Nigeria
using statistical analysis supplemented with Geographical Information Systems (GIS) analysis.
    Keywords: crime data;interval measures;Agglomerative algorithms;GIS;classification;Sokoto