Gaussian Mixture Model
Gaussian Mixture Model

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Harvard T.H. Chan School of Public Health's Logo

Boston, United States

1001-5000 Employees

1913

Chan School of Public Health traces its roots to public health activism at the beginning of the last century, a time of energetic social reform. In 1946, no longer affiliated with the medical school, HSPH became an independent, degree-granting body. Chan School of Public Health brings together dedicated experts from many disciplines to educate new generations of global health leaders and produce powerful ideas that improve the lives and health of people everywhere. We work together as a community of leading scientists, educators, and students to take innovative ideas from the laboratory to people’s lives, not only making scientific breakthroughs, but also working to change individual behaviors, public policies, and health care practices. Find more information from the Dean’s Office here. Learn more about Harvard Chan:.

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Image for Hugues Aschard | Academic Profile | Harvard T.H. Chan School of Public Health

Hugues Aschard | Academic Profile | Harvard T.H. Chan School of Public Health

... Fitting Gaussian mixture models on incomplete data. ...

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„Gaussian Mixture Model“

A Gaussian Mixture Model (GMM) is a probabilistic model that assumes a given dataset is composed of multiple Gaussian distributions. Each component of the mixture is associated with a probability, which indicates the relative weight of the component in the overall mixture. A GMM can be used to fit a variety of complex data distributions, as it allows for the combination of multiple Gaussian distributions with different weights.