Self-Organizing Map for Characterizing Heterogeneous Nucleotide and Amino Acid Sequence Motifs
A self-organizing map (SOM) is an artificial neural network algorithm that can learn from the training data consisting of objects expressed as vectors and perform non-hierarchical clustering to represent input vectors into discretized clusters, with vectors assigned to the same cluster sharing simil...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-09-01
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| Series: | Computation |
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| Online Access: | https://www.mdpi.com/2079-3197/5/4/43 |