Centroids, Clusters and Crime: Anchoring the Geographic Profiles of ...
Centroids, Clusters and Crime: Anchoring the Geographic Profiles of ...
Centroids, Clusters and Crime: Anchoring the Geographic Profiles of ...
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Team # 7507 Page 35<br />
<strong>the</strong>se effectiveness multipliers κ m,c<br />
M , where κm M indicates <strong>the</strong> multiplier for <strong>the</strong> cluster method<br />
<strong>and</strong> κ c M <strong>the</strong> centroid method. Also denote κm,c<br />
M<br />
as <strong>the</strong> mean <strong>of</strong> κm,c 4 , ..., κ m,c<br />
M<br />
. In Figure 15 we<br />
see κ c M <strong>and</strong> κm M for Offender C. In Figure 16 we see κm M <strong>and</strong> κc M for Offender C.<br />
Figure 15: Running Mean <strong>of</strong> Effectiveness Multiplier<br />
Figure 16: Effectiveness Multiplier vs. <strong>Crime</strong> Predicted<br />
We now determine if ei<strong>the</strong>r <strong>of</strong> our methods recognizes a geographic trend. To do this,<br />
denote a c as <strong>the</strong> number <strong>of</strong> κ c M that are less than 1 <strong>and</strong> similarly denote a m as <strong>the</strong> number <strong>of</strong><br />
κ m M that are less than 1. If a c > N−4<br />
2<br />
we state <strong>the</strong> our centroid method is invalid, <strong>and</strong> similarly