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Yann LeCun Team’s Neural Manifold Clustering and Embedding Method Surpasses High-Dimensional Clustering Algorithm Benchmarks
Jan. 27, 2022, 3:05 p.m. | Synced
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A team from UC Berkeley and Facebook AI Research proposes a Neural Manifold Clustering and Embedding (NMCE) method for general-purpose manifold clustering that significantly outperforms autoencoder-based deep subspace clustering approaches.
The post Yann LeCun Team’s Neural Manifold Clustering and Embedding Method Surpasses High-Dimensional Clustering Algorithm Benchmarks first appeared on Synced.
ai algorithm artificial intelligence benchmarks clustering clustering algorithm embedding machine learning machine learning & data science manifold ml neural networks representation learning research technology unsupervised learning
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