A non-negative representation learning algorithm for selecting neighbors

DOI10.1007/s10994-015-5501-4zbMath1357.68175OpenAlexW277299114MaRDI QIDQ298347

Zhang Yi, Jian Cheng Lv, Li-Li Li

Publication date: 20 June 2016

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-015-5501-4

zbMATH Keywords

convex combinationALM methodmanifold embeddingmultiple manifolds clusteringneighbors selection

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Some properties of invariant sets of a flow
• Local Procrustes for manifold embedding: a measure of embedding quality and embedding algorithms
• Bayesian instance selection for the nearest neighbor rule
• 10.1162/153244304322972667
• Convergence Analysis of a Class of HyvÄrinen–Oja's ICA Learning Algorithms With Constant Learning Rates
• Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis
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