GitHub - parissashahabi/ResNet-SOM-Clustering: Applied a self-organizing map network to cluster feature vectors extracted from ResNet-34 on the CIFAR-10 dataset. Explored different network configurations, such as one-dimensional and two-dimensional topologies, and neighborhood radius, to analyze the clustering results.

Name		Name	Last commit message	Last commit date
1-10-nb-1		1-10-nb-1
1-10-nb-3		1-10-nb-3
10-10-nb-3		10-10-nb-3
4-3-nb-1		4-3-nb-1
SOM_Classification.ipynb		SOM_Classification.ipynb
som2d.png		som2d.png

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Applied a self-organizing map network to cluster feature vectors extracted from ResNet-34 on the CIFAR-10 dataset. Explored different network configurations, such as one-dimensional and two-dimensional topologies, and neighborhood radius, to analyze the clustering results.

cifar-10 clustering resnet self-organizing-map som som-clustering

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