90 citations · 148 across the 8 of their papers we have counts for
4 papers · 1 filter
Generalized Linear Gaussian Cluster-Weighted Modeling
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo +1
Cluster-Weighted Modeling (CWM) is a flexible mixture approach for modeling the joint probability of data coming from a heterogeneous population as a weighted sum of the products o…
Clustering and Classification via Cluster-Weighted Factor Analyzers
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia +1
In model-based clustering and classification, the cluster-weighted model constitutes a convenient approach when the random vector of interest constitutes a response variable Y and…
Maximum Likelihood Estimation of Gaussian Cluster Weighted Models and Relationships with Mixtures of Regression
Salvatore Ingrassia, Simona C. Minotti
Cluster-weighted modeling (CWM) is a mixture approach for modeling the joint probability of a response variable and a set of explanatory variables. The parameters are estimated by…
Model-based clustering via linear cluster-weighted models
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
A novel family of twelve mixture models with random covariates, nested in the linear cluster-weighted model (CWM), is introduced for model-based clustering. The linear CWM…