The Scoring Mechanism of Players after Game Based on Cluster Regression Analysis Model
Cluster regression analysis model is an effective theory for a reasonable and fair player scoring game. It can roughly predict and evaluate the performance of athletes after the game with limited data and provide scientific predictions for the performance of athletes. The purpose of this research is...
Main Authors: | Jin Xu, Chao Yi |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/5524076 |
Similar Items
-
The Study of Smartphone Game Players’ Cluster Analysis in Flow Theory
by: Chou, Tai-Jao, et al.
Published: (2014) -
Regression Tree Model for Predicting Game Scores for the Golden State Warriors in the National Basketball Association
by: Mei-Ling Huang, et al.
Published: (2020-05-01) -
Game Play Schemas: From Player Analysis to Adaptive Game Mechanics
by: Craig A. Lindley, et al.
Published: (2008-01-01) -
Prediction of NBA scores based on Bivariate Poisson regression model
by: CHEN, YI-HENG, et al.
Published: (2019) -
ThE ANALYSIS OF SCORING AND STRATEGIES OF FENALE JUDO PLAYERS IN THE 2004 ATHENS OLYMPIC GAME
by: Lee Hsiao-Hung, et al.
Published: (2008)