Self-Organizing Maps is a type of artificial neural network that employs unsupervised learning to produce a low-dimensional, topology-preserving representation of high-dimensional input data.
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Teuvo Kohonen · Proceedings of the IEEE · 1990 · 8.2K citations
Open source clustering software
Michiel de Hoon, Seiya Imoto, John P. Nolan et al. · Bioinformatics · 2004 · 3.2K citations · Full text
Face recognition: a convolutional neural-network approach
Sandra Lawrence, C. Lee Giles, Ah Chung Tsoi et al. · IEEE Transactions on Neural Networks · 1997 · 3.1K citations
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