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Podcast: Data Skeptic
Episode:

Matrix Factorization For k-Means
Category: Religion & Spirituality
Duration: 00:30:07
Publish Date: 2022-03-21 13:00:46
Description:

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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