Graph based semi-supervised classification with probabilistic nearest neighbors

•PNN jointly learns graph structure and probability transition matrix for inference.•PNN explore complex data structure preferably, with low computation complexity.•PNN enhances relevance between graph construction and inference.•PNN is optimized according to min-max normalization for discriminate d...

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Veröffentlicht in:	Pattern recognition letters 2020-05, Vol.133, p.94-101
Hauptverfasser:	Ma, Junliang, Xiao, Bing, Deng, Cheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Datasets Graph construction Machine learning Mathematical analysis Optimization Probabilistic inference Probabilistic methods Probabilistic nearest neighbors Probability learning Probability transition matrix Semi-supervised classification Statistical analysis
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