Round Numbers are Goals: Evidence from SAT Takers, Baseball Players and the Lab

2010 ◽  
Author(s):  
Devin Pope ◽  
Uri Simonsohn
Keyword(s):  
Baseball Players ◽  
Round Numbers

Norm-referenced criteria of the trunk flexor and extensor strength for the Korean pro-baseball players

2008 ◽  
Vol 17 (4) ◽  
pp. 473-482
Author(s):  
임승길 ◽  
김병곤 ◽  
Kimyoungjae
Keyword(s):  
Baseball Players

Hip internal and external rotation range of motion reliability in youth baseball players

2020 ◽  
Vol 61 (1) ◽  
Author(s):  
Garrett S. Bullock ◽  
Edward C. Beck ◽  
Gary S. Collins ◽  
Stephanie R. Filbay ◽  
Kristen F. Nicholson
Keyword(s):  
Range Of Motion ◽  
External Rotation ◽  
Baseball Players ◽  
Youth Baseball

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

Sign in / Sign up

Export Citation Format

Share Document