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Activity Number: 181 - SPEED: Statistical Learning and Data Science Speed Session 1, Part 2
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 11:15 AM
Sponsor: Section on Statistical Learning and Data Science
Abstract #307521
Title: Using Factor Analysis in Variable Selection and Clustering of US Mass Shooting Incidents
Author(s): John McMorris* and Yew-Meng Koh
Companies: and Hope College
Keywords: Factor analysis; Clustering; US Mass shootings; Dimension reduction

Estimated values of unobservable factors in Factor Analysis can be used for both variable selection as well as clustering of cases into groups. We implement Factor Analysis on a US mass shooting database with these two goals. The nature of the clusters suggested by Factor Analysis will be highlighted. Salient features from these shooting incidents, as well as intra-and inter-group characteristics, will also be discussed.

Authors who are presenting talks have a * after their name.

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