Vector Quantization, Density Estimation and Outlier Detection on Cricket Dataset

This study aims to apply unsupervised machine learning algorithms on Cricket players' career statistics dataset. K-means clustering algorithm is used to find the natural grouping that exists within the cricket players using player's batting average, strike rate, bowling average, economy etc. as input features ─ in this case players are grouped into 3 groups. Further separate probability density models are fitted for batsmen, bowlers and …