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Matrix Factorization For k-Means

Matrix Factorization For k-Means

Data Skeptic · Kyle Polich

March 21, 202230m 7s

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Show Notes

Many people know K-means clustering as a powerful clustering technique but not all listeners will be as familiar with spectral clustering. In today's episode, Sibylle Hess from the Data Mining group at TU Eindhoven joins us to discuss her work around spectral clustering and how its result could potentially cause a massive shift from the conventional neural networks. Listen to learn about her findings.

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