Gradient-based Learning Methods Extended to Smooth Manifolds Applied to Automated Clustering

Grassmann manifold based sparse spectral clustering is a classification technique that  consists in learning a latent representation of data, formed by a subspace basis, which  is sparse. In order to learn a latent representation, spectral clustering is formulated in  terms of a loss minimization pr...

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Vydané v:	The Journal of artificial intelligence research Ročník 68; s. 777 - 816
Hlavní autori:	Koudounas, Alkis, Fiori, Simone
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	San Francisco AI Access Foundation 17.08.2020
Predmet:	Algorithms Artificial intelligence Clustering Machine learning Manifolds (mathematics) Optimization Parameters Representations
ISSN:	1076-9757, 1076-9757, 1943-5037
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