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- W2767984987 abstract "Author(s): Patel, Riki | Advisor(s): Paik Schoenberg, Frederic R | Abstract: Basketball players are traditionally grouped into five distinct positions, but these designationsare quickly becoming outdated. We attempt to reclassify players into new groupsbased on personal performance in the 2016-2017 NBA regular season. Two dimensionalityreduction techniques, t-Distributed Stochastic Neighbor Embedding (t-SNE) and principalcomponent analysis (PCA), were employed to reduce 18 classic metrics down to two dimensionsfor visualization. k-means clustering discovered four groups of players with similarplaying styles. Player representation in each of the four clusters is similar across the 30NBA teams, but better teams have players located further away from cluster centroids onthe scatterplot. The results indicate that strong teams have players whose success cannot beattributed to fundamentals alone, meaning these players have advanced or intangible factorsthat supplement their performance." @default.
- W2767984987 created "2017-11-17" @default.
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- W2767984987 date "2017-01-01" @default.
- W2767984987 modified "2023-09-23" @default.
- W2767984987 title "Clustering Professional Basketball Players by Performance" @default.
- W2767984987 hasPublicationYear "2017" @default.
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