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Matrix Factorization For k-Means

Matrix Factorization For k-Means

FromData Skeptic


Matrix Factorization For k-Means

FromData Skeptic

ratings:
Length:
30 minutes
Released:
Mar 21, 2022
Format:
Podcast episode

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.
Released:
Mar 21, 2022
Format:
Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.