The use of a finite mixture of normal distributions in model-based clustering allows to capture non-Gaussian data clusters. However, identifying the clusters from the normal components is challenging
Drinking water samples taken from cafeteria sinks and water fountains in each of the 76 schools in the Winston-Salem/Forsyth County Schools (WSFCS) district (North Carolina, United States) were analyz
Deciding the number of clusters k is one of the most difficult problems in cluster analysis. For this purpose, complexity-penalized likelihood approaches have been introduced in model-based clu
These codes replicate all the empirical results presented in the paper "Predicting Cryptocurrency Volatility: The Power of Model Clustering" by Yue Qiu, Shaoguang Qu, Zhentao Shi, and Tian Xie. 1. In
