Latent Variable Models
Data Mining Techniques Overview
Constructs
Customer Segmentation Analysis Techniques
Data Mining Techniques Overview 
Hierarchical Clustering DBSCAN (Density-Based Spatial Clustering of Applications with Noise) Gaussian Mixture
Models 3
...Regression Regression techniques are used to predict a continuous outcome
variable based on one or more predictor variables
...LDA -
Latent Dirichlet Allocation) 8
...
Constructs particularly in the field of business analytics and data analysis, the term "construct" refers to an abstract concept or
variable that is used to measure or represent a phenomenon
...Constructs are fundamental to developing theories,
models, and frameworks that guide research and practice in various domains
...The following list outlines the primary types of constructs:
Latent Constructs: These are variables that cannot be measured directly but are inferred from other variables
...
Customer Segmentation Analysis Techniques Latent Variable Models: These models identify unobservable variables that influence customer behavior, allowing for more nuanced segmentation
...
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