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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.
parissashahabi/ResNet-SOM-Clustering
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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.
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