Comparison of different autoencoder variations vs state-of-the-art methods on Sim1 (17 clusters), the optimal value of neighbours for Isomap was found as 110 through grid search.
收藏Figshare2023-03-09 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Comparison_of_different_autoencoder_variations_vs_state-of-the-art_methods_on_Sim1_17_clusters_the_optimal_value_of_neighbours_for_Isomap_was_found_as_110_through_grid_search_/22245180
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The metrics indicate that several variations of autoencoders and the Isomap algorithm are able to outperform conventional algorithms such as PCA or ICA for the Sim1 dataset that contains a high number of clusters. Moreover, two autoencoder variants outperform Isomap on 5 out of the 6 metrics, the values indicating the highest performance for each metric have been bolded.
创建时间：
2023-03-09
