Lecture

K-means Clustering: Lloyd's Algorithm and RGB Space

In course

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Description

This lecture covers the K-means method, focusing on minimizing intra-cluster variance using Lloyd's algorithm. It explains the step-by-step process of assigning observations to clusters and recalculating centroids. The application of K-means in color clustering for image segmentation is also discussed, illustrating how pixels are assigned to clusters based on RGB values.

Instructor

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Official source

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

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Ontological neighbourhood

Information engineering

Machine learning: Unsupervised learning

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