Undergraduate Math Colloquium: Identifying Exoplanets with Gaussian Mixture Model Clustering

Дата публикации: 21-10-2026 21:13:01

Speaker: Giovanni VizcondeSpeaker Affiliation: UBCNovember 5, 2026MATH 203
CanadaOur second Undergraduate Math Colloquium* this fall will feature a talk given by a former math undergraduate student, followed by a Q&A and refreshments. 
Learn about the research your fellow undergrads have done and find out more about summer research opportunities with UBC Math!
Space is limited, so sign up early via the registration link sent to your email address!
*A colloquium is like a seminar**
**A seminar is a talky get-together. So come learn about undergrad research, ask questions and get some refreshments!
View All EventsAbstract: The Kepler Space Observatory was launched in 2009 to find exoplanets in other star systems, and ultimately habitable exoplanets. The Kepler dataset used in this analysis contains 10000 exoplanet candidates, about 3000 of which have been confirmed. As it turns out, most celestial bodies are not exoplanets, so Kepler picks up lots of noise which we would like to sort out.
The goal of clustering on this data is to identify if there are characteristic properties of exoplanets, which can:
Enable automated classification of data, and
Allow for more targeted data collection in the future.
In this talk, we will discuss the results and validity of applying Gaussian Mixture Model clustering on the Kepler exoplanet data, as well as projection, imputation, and other techniques used in the analysis.
Undergraduate Math Colloquium: Identifying Exoplanets with Gaussian Mixture Model Clustering

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