Baseball pitch classification: A Bayesian method and dimension reduction investigation

A. Attarian

Lexington, MA, USA

G. Danis

Boston University, Boston, MA, USA

J. Gronsbell

Harvard University, Cambridge, MA, USA

G. Iervolino

University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

L. Layne & D. Padgett

Lexington, MA, USA

H. Tran

North Carolina State University, Raleigh, NC, USA

ABSTRACT: Data classification has been widely studied in engineering, market and financial analysis, medicine and biology, and other areas. In particular, there exists a large body of literature concerning classification algorithms; however, the performance of such algorithms is highly data dependent. For example, while the k-Nearest Neighbors algorithm ( ...

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