Lecture

Support Vector Clustering: SVC

In course

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Description

This lecture covers Support Vector Clustering (SVC), where data points are mapped to a high dimensional feature space using a Gaussian kernel. It explains the constraints, Lagrangian, and the solution approach for SVC. The lecture also discusses the distance calculation for query points and the impact of kernel width on clustering.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_54a7tgkt

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Ontological neighbourhood

Information engineering

Machine learning: Unsupervised learning

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