Matrix Factorization For k-Means
Data Skeptic
English - March 21, 2022 13:00 - 30 minutes - 34.5 MB - ★★★★★ - 477 ratingsScience Technology machinelearning datamining datascience science skepticism statistics Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Breathing K-Means
Next Episode: Fair Hierarchical Clustering
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.
Visit our website for additional show notes
Thanks to our sponsor, Weights & Biases