Matrix Factorization For k-Means @Dataskeptic
Matrix Factorization For k-Means  @Dataskeptic
Uploaded March 2022 | Updated September 2026, 3 weeks ago
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, Sybille 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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Matrix Factorization For k-Means

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