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Self Organizing Maps

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4 documents available in our comprehensive collection of Self Organizing Maps resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

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pdf (ijcnn04_raitio_et_al_emerrepr.pdf)

168 KBEN 6 pages
Researchers assess the similarity of emergent representations based on unsupervised learning, using Self-Organizing Maps (SOM) trained with color spectrum
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Download (16Mb) (adli.pdf)

16.22 MBEN 252 pages
Mohd Adli Bin Md Ali's PhD thesis explores the development and usage of Self-Organizing Maps (SOM) in high energy physics analysis with high performance
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Topological Map (es2000-203.pdf)

710 KBEN 6 pages
A new algorithm using topological maps on binary data is proposed, replacing Euclidean distance with binary distance measures to account for possible
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Unsupervised Learning (80823v00_machine_learning_section3_ebook_v05.pdf)

1.18 MBEN 15 pages
Unsupervised learning is useful for exploring data without a specific goal, reducing data dimensions, and discovering information.
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