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Activity Number:
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475
- Understanding Threats to People, Data, and Privacy
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Type:
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Contributed
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Date/Time:
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Wednesday, July 31, 2019 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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Abstract #301823
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Title:
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Classification of US Mass Shooting Incidents
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Author(s):
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Tyler Gast* and Yew-Meng Koh
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Companies:
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and Hope College
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Keywords:
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Principal Component Analysis;
US Mass shootings;
Clustering
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Abstract:
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Mass shootings in the US appear to be random and unpredictable events. However, a closer examination of these events reveals certain trends and commonalities between them. In this study, we classify mass shootings using Principal Component Analysis. Conclusions regarding similarities and distinct features between mass shooting incidents which arise from the different clusters of incidents are discussed.
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Authors who are presenting talks have a * after their name.
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