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Latent GOLD, a software for latent class analysis.

Software developed for latent class analysis. It features an easy-to-use interface that can be operated with a mouse.

Latent class analysis is a method that classifies subjects based on the relationships between categorical variables within the vast amounts of data (Big Data) accumulated individually. Latent GOLD can handle not only categorical variables but also discrete count variables and continuous variables. Since latent class analysis assumes that the population is a mixture of heterogeneous groups, it is widely used as a tool for segmentation and targeting in the marketing field. Additionally, its use is expanding in various fields, including healthcare. As the utilization of Big Data continues to grow, this analytical method is expected to receive increasing attention.

  • Business Intelligence and Data Analysis

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